best MCQ books Q bank NEET PG preparation 2025 subject wise

NEET PG MCQ books subject wise anatomy physiology biochemistry pharmacology 2025 2026

NEET PG 2025 paper analysis high yield topics subject wise recall

NEET PG 2026 exam analysis high yield topics expected questions

https://www.medexamsprep.com/blog/neet-pg-2025-paper-analysi…

mkdir -p /home/daytona/workspace/neet-pg-checklist && ls /home/daytona/workspace…

~/neet-pg-checklist/generate_checklist.py

from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.lib.units import mm
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.platypus import (
    SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle,
    HRFlowable, PageBreak, KeepTogether
)
from reportlab.lib.enums import TA_CENTER, TA_LEFT
from reportlab.platypus import Flowable

# ── Custom checkbox flowable ────────────────────────────────────────────────
class Checkbox(Flowable):
    def __init__(self, size=4*mm):
        super().__init__()
        self.size = size
        self.width  = size
        self.height = size

    def draw(self):
        self.canv.setStrokeColor(colors.HexColor("#555555"))
        self.canv.setLineWidth(0.6)
        self.canv.rect(0, 0, self.size, self.size, fill=0)


# ── Colour palette ──────────────────────────────────────────────────────────
RED    = colors.HexColor("#C0392B")
ORANGE = colors.HexColor("#E67E22")
BLUE   = colors.HexColor("#2C3E7A")
GREEN  = colors.HexColor("#1E8449")
GREY   = colors.HexColor("#F2F2F2")
LIGHT  = colors.HexColor("#EAF0FB")
DARK   = colors.HexColor("#1A1A2E")
WHITE  = colors.white
BOX_BG = colors.HexColor("#FDFEFE")

# ── Subject data ────────────────────────────────────────────────────────────
subjects = [
    {
        "name": "GENERAL MEDICINE",
        "emoji": "🏥",
        "qs": "30 Qs | 15%",
        "priority": "ULTRA HIGH",
        "color": RED,
        "sections": [
            ("Cardiology", [
                "STEMI management protocol (thrombolytics vs PCI window)",
                "NSTEMI vs Unstable Angina - ECG & troponin",
                "Heart failure - HFrEF vs HFpEF, BNP levels",
                "Infective endocarditis - Duke's criteria (major & minor)",
                "Atrial fibrillation - rate vs rhythm control",
                "ECG interpretation: MI, arrhythmias, LVH, RVH",
            ]),
            ("Respiratory", [
                "ARDS - Berlin definition, Low VT + High PEEP management ✓PYQ",
                "Interstitial lung disease - UIP vs NSIP patterns",
                "Pneumothorax types and management algorithm",
                "COPD exacerbation - NIV indications",
            ]),
            ("Endocrinology", [
                "Addison's disease - features, investigations, management ✓PYQ",
                "Paget's disease of bone - ALP raised, bisphosphonates ✓PYQ",
                "Cushing's syndrome - ACTH-dependent vs independent",
                "Hypothyroidism vs Hyperthyroidism - drug targets",
                "Diabetes insipidus - central vs nephrogenic",
            ]),
            ("Rheumatology", [
                "Pannus formation in Rheumatoid Arthritis ✓PYQ",
                "SLE - ANA, anti-dsDNA, anti-Sm antibodies",
                "Gout vs Pseudogout - crystal types, joints",
                "Scleroderma subtypes - anti-centromere vs anti-Scl-70",
            ]),
            ("Infectious Disease", [
                "IRIS in HIV-TB co-infection ✓PYQ",
                "TB drug resistance - MDR, XDR definitions",
                "HIV staging, CD4 count thresholds for OI prophylaxis",
                "Malaria - falciparum complications, treatment",
                "Meningitis - empirical antibiotic choice by age group",
            ]),
            ("Others", [
                "Fat embolism syndrome - features, Gurd's criteria ✓PYQ",
                "Paraneoplastic syndromes",
                "Liver cirrhosis complications - SBP, HRS, HE",
                "CKD management - stages, dialysis indications",
            ]),
        ],
    },
    {
        "name": "OBSTETRICS & GYNECOLOGY",
        "emoji": "🤱",
        "qs": "20 Qs | 10%",
        "priority": "ULTRA HIGH",
        "color": RED,
        "sections": [
            ("Obstetrics - High Yield", [
                "Atonic PPH - Bakri balloon, stepwise management ✓PYQ",
                "Cord prolapse - immediate management algorithm ✓PYQ",
                "Shoulder dystocia - McRoberts maneuver, HELPERR ✓PYQ",
                "Episiotomy repair - closure sequence ✓PYQ",
                "Antepartum hemorrhage - placenta previa vs abruption",
                "Pre-eclampsia / Eclampsia - MgSO4 protocol",
                "Gestational diabetes - screening, management",
                "IUGR - symmetric vs asymmetric causes",
            ]),
            ("Gynecology - High Yield", [
                "Adenomyosis - MRI as gold standard ✓PYQ",
                "Premature ovarian insufficiency - ↑FSH, ↓AMH ✓PYQ",
                "PCOS - Rotterdam criteria, hormonal profile",
                "Cervical cancer - HPV types, FIGO staging",
                "Endometrial cancer - risk factors, staging",
                "Ovarian tumors - tumor markers matched to types",
                "AUB - PALM-COEIN classification",
            ]),
        ],
    },
    {
        "name": "SURGERY",
        "emoji": "🔪",
        "qs": "18 Qs | 9%",
        "priority": "ULTRA HIGH",
        "color": RED,
        "sections": [
            ("GI Surgery", [
                "Achalasia cardia - manometry findings, treatment ✓PYQ",
                "Courvoisier's law (Ca head of pancreas) ✓PYQ",
                "Parks classification of anal fistula ✓PYQ",
                "Peptic ulcer disease - complications, surgery indications",
                "Bowel obstruction - X-ray findings, management",
                "Colorectal cancer - Duke's/AJCC staging",
            ]),
            ("Trauma & Others", [
                "Diffuse axonal injury in RTA - imaging findings ✓PYQ",
                "Congenital diaphragmatic hernia ✓PYQ",
                "ATLS primary & secondary survey sequence",
                "Hepatobiliary - biliary obstruction, cholangitis",
                "Thyroid surgery - nerve injuries (RLN, SLN)",
                "Breast cancer - sentinel node biopsy, staging",
            ]),
        ],
    },
    {
        "name": "PSM / COMMUNITY MEDICINE",
        "emoji": "🏘️",
        "qs": "16 Qs | 8%",
        "priority": "HIGH",
        "color": ORANGE,
        "sections": [
            ("Biostatistics", [
                "Sensitivity, Specificity, PPV, NPV calculations",
                "Study designs - levels of evidence",
                "Relative risk vs Odds ratio",
                "Standard deviation, SE, CI calculations",
                "Type I & Type II errors",
            ]),
            ("National Programs & Epidemiology", [
                "NIP vaccine schedule - all ages, updated ✓",
                "National programs - targets & features (NHM, RMNCH+A)",
                "Nutritional indices - Gomez, IAP classification",
                "Epidemiological measures - incidence, prevalence",
                "Screening test criteria (Wilson & Jungner)",
                "Disease notification - which diseases are notifiable",
            ]),
        ],
    },
    {
        "name": "PHARMACOLOGY",
        "emoji": "💊",
        "qs": "15 Qs | 7.5%",
        "priority": "HIGH",
        "color": ORANGE,
        "sections": [
            ("Antimicrobials (Very High Yield)", [
                "Beta-lactam mechanism & resistance",
                "Aminoglycosides - mechanism, toxicity, monitoring",
                "Fluoroquinolones - spectrum, contraindications",
                "Macrolides - CYP450 interactions",
                "Anti-TB drugs - MOA, key side effects (RIPE)",
                "Antifungals - azoles vs amphotericin B",
                "Antivirals - HIV drugs, classes, IRIS",
            ]),
            ("CVS & Other Drugs", [
                "Anti-hypertensives - mechanism by class",
                "Anti-arrhythmics - Vaughan-Williams classification",
                "Anticoagulants - heparin vs warfarin vs NOACs",
                "Antiplatelets - aspirin, clopidogrel, MOA",
                "NSAIDs - COX selectivity, GI/CV/renal effects",
                "Drug-drug interactions - classic high-yield pairs",
            ]),
        ],
    },
    {
        "name": "BIOCHEMISTRY",
        "emoji": "🧪",
        "qs": "15 Qs | 7.5%",
        "priority": "HIGH",
        "color": ORANGE,
        "sections": [
            ("Metabolism & Enzymes", [
                "TCA cycle - rate-limiting enzymes",
                "Urea cycle - enzymes, deficiencies, hyperammonemia",
                "Fatty acid oxidation - beta-oxidation steps",
                "Glycogen storage diseases - type & enzyme defect",
                "Amino acid disorders - PKU, alkaptonuria, homocystinuria",
                "Lysosomal storage diseases - Gaucher, Niemann-Pick",
            ]),
            ("Clinical Biochemistry", [
                "Vitamin deficiencies with clinical features",
                "Post-ileal resection → Vit B12 deficiency ✓PYQ",
                "Renal osteodystrophy - 1α-hydroxylase, Calcitriol ✓PYQ",
                "Tumor markers - AFP, CEA, CA125, PSA, CA19-9",
                "Enzyme markers in MI - CK-MB, Troponin timelines",
                "Porphyrias - type, presentation",
            ]),
        ],
    },
    {
        "name": "PATHOLOGY",
        "emoji": "🔴",
        "qs": "12 Qs | 6%",
        "priority": "HIGH",
        "color": ORANGE,
        "sections": [
            ("Hematology", [
                "AML M3 - t(15;17), PML-RARA, ATRA therapy ✓PYQ",
                "Follicular lymphoma - t(14;18), BCL2 ✓PYQ",
                "CML - t(9;22) Philadelphia chromosome, BCR-ABL",
                "Peripheral smear findings - anaemia types",
                "Coagulation disorders - hemophilia A vs B",
            ]),
            ("General Pathology & Solid Tumors", [
                "Primary biliary cholangitis - AMA positive ✓PYQ",
                "Oncogenes vs tumor suppressors - classic examples",
                "Amyloidosis types (AA, AL) and staining (Congo red)",
                "Granuloma diseases - causes, features",
                "Histopathology image recognition (practice slides)",
            ]),
        ],
    },
    {
        "name": "MICROBIOLOGY",
        "emoji": "🦠",
        "qs": "12 Qs | 6%",
        "priority": "HIGH",
        "color": ORANGE,
        "sections": [
            ("Bacteriology", [
                "Aspergillus - acute angle branching septate hyphae ✓PYQ",
                "Culture media - organism matched to specific media",
                "Gram +ve cocci - Staph vs Strep differentiation",
                "Gram -ve organisms - Enterobacteriaceae, Pseudomonas",
                "Staining techniques - Gram, ZN, special stains",
                "STIs - causative organisms, lab diagnosis, treatment",
            ]),
            ("Virology & Immunology", [
                "HIV - structure, stages, CD4 counts",
                "Hepatitis viruses - serological markers timeline",
                "Herpes viruses - types and associated diseases",
                "Complement system - pathways, deficiencies",
                "Hypersensitivity reactions - type I-IV, examples",
            ]),
        ],
    },
    {
        "name": "FORENSIC MEDICINE",
        "emoji": "⚖️",
        "qs": "6 Qs | 3%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield FMT", [
                "IPC Sections - 302, 304, 304A, 376, 498A (key sections)",
                "Rigor mortis - timing, exceptions",
                "Postmortem changes - sequence",
                "Poisoning - specific features & antidotes (organophosphate, CO, cyanide)",
                "Drowning - dry vs wet, diatom test",
                "Legal aspects - consent, MLC, medical negligence",
            ]),
        ],
    },
    {
        "name": "ANATOMY",
        "emoji": "🧬",
        "qs": "9 Qs | 4.5%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Anatomy", [
                "Nerve injuries at classical sites (radial, ulnar, median, peroneal)",
                "Dual nerve supply structures (Digastric - CN V3 + VII) ✓PYQ",
                "Embryology - congenital anomalies (CDH, VSD, cleft palate)",
                "Anatomical landmarks in surgery",
                "Triangle of auscultation, femoral triangle contents",
                "Blood supply to head of femur - clinical relevance",
            ]),
        ],
    },
    {
        "name": "DERMATOLOGY",
        "emoji": "🩺",
        "qs": "8 Qs | 4%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Dermatology", [
                "Vesiculobullous disorders - pemphigus vs pemphigoid (IgG sites)",
                "Leprosy - type, treatment, reactions",
                "Psoriasis - Auspitz sign, nail changes, treatment",
                "STI skin manifestations - primary syphilis, condyloma",
                "Skin infections - fungal (KOH), bacterial, viral",
                "Drug rashes - SJS, TEN, DRESS syndrome triggers",
            ]),
        ],
    },
    {
        "name": "PEDIATRICS",
        "emoji": "👶",
        "qs": "5 Qs | 2.5%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Pediatrics", [
                "HIV prophylaxis in newborn - Nevirapine ✓PYQ",
                "Neonatal jaundice - physiological vs pathological",
                "Immunization schedule - NIP (updated)",
                "Growth milestones - weight, height, head circumference",
                "Developmental milestones by age",
                "Neonatal sepsis - empirical antibiotics",
                "Respiratory distress in newborn - causes, surfactant",
            ]),
        ],
    },
    {
        "name": "OPHTHALMOLOGY",
        "emoji": "👁️",
        "qs": "5 Qs | 2.5%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Ophthalmology", [
                "Glaucoma - open vs closed angle, tonometry",
                "Diabetic retinopathy stages (fundus image recognition)",
                "Uveitis - anterior vs posterior, causes",
                "Papilledema - causes, fundoscopy",
                "Optics - concave/convex lens, refractive errors",
                "Cataract types, Vitamin A deficiency eye signs",
            ]),
        ],
    },
    {
        "name": "ENT",
        "emoji": "👂",
        "qs": "5 Qs | 2.5%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield ENT", [
                "Otitis media - acute, chronic, cholesteatoma",
                "Ear instruments identification",
                "Laryngeal disorders - vocal cord palsy, laryngitis",
                "Hearing loss types - conductive vs sensorineural (Rinne, Weber)",
                "Sinusitis - common organisms, complications",
                "Throat infections - quinsy vs retropharyngeal abscess",
            ]),
        ],
    },
    {
        "name": "RADIOLOGY",
        "emoji": "📡",
        "qs": "5–10 Qs | 2.5–5% ↑RISING",
        "priority": "MEDIUM (Rising)",
        "color": BLUE,
        "sections": [
            ("High-Yield Radiology", [
                "X-ray signs - Fleischer sign, Golden S sign, Sail sign",
                "CT abdomen - bowel obstruction, pancreatic pathology",
                "MRI - brain lesions, spinal cord patterns",
                "Contrast agents - types, nephrotoxicity precautions",
                "Radiation safety - ALARA, dose limits",
                "USG - obstetric landmarks, gallstones",
            ]),
        ],
    },
    {
        "name": "ORTHOPEDICS",
        "emoji": "🦴",
        "qs": "5 Qs | 2.5%",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Orthopaedics", [
                "Fracture eponyms - Colles', Smith's, Monteggia, Galeazzi",
                "Compartment syndrome - features, fasciotomy",
                "Bone tumors - osteosarcoma, Ewing's sarcoma (age, X-ray)",
                "Traction types - skin vs skeletal",
                "Nerve injuries at specific fracture sites",
                "Osteoporosis - DEXA scan, T-score thresholds",
            ]),
        ],
    },
    {
        "name": "PSYCHIATRY",
        "emoji": "🧠",
        "qs": "Tested within Medicine",
        "priority": "MEDIUM",
        "color": GREEN,
        "sections": [
            ("High-Yield Psychiatry", [
                "PTSD vs Acute Stress Disorder - <1 month = ASD ✓PYQ",
                "Schizophrenia - first rank symptoms (Schneider)",
                "Antipsychotic side effects - EPS, tardive dyskinesia",
                "Lithium toxicity - features, monitoring",
                "Defense mechanisms - mature vs immature",
                "Suicide risk factors",
            ]),
        ],
    },
    {
        "name": "ANAESTHESIA",
        "emoji": "💉",
        "qs": "4 Qs | 2%",
        "priority": "LOW",
        "color": colors.HexColor("#7F8C8D"),
        "sections": [
            ("High-Yield Anaesthesia", [
                "ASA physical status classification",
                "Gas laws - Boyle's, Charles', Henry's",
                "Muscle relaxants - depolarising vs non-depolarising",
                "Reversal agents - neostigmine, sugammadex",
                "CPR protocol (2020 AHA guidelines) - compression ratio",
                "Inhalational agents - MAC values, properties",
            ]),
        ],
    },
]

# ── Build PDF ───────────────────────────────────────────────────────────────
OUTPUT = "/home/daytona/workspace/neet-pg-checklist/NEET_PG_HighYield_Checklist.pdf"

doc = SimpleDocTemplate(
    OUTPUT,
    pagesize=A4,
    leftMargin=15*mm, rightMargin=15*mm,
    topMargin=15*mm, bottomMargin=15*mm,
)

styles = getSampleStyleSheet()

# Custom styles
TITLE_STYLE = ParagraphStyle("title", fontSize=20, fontName="Helvetica-Bold",
                              textColor=WHITE, alignment=TA_CENTER, spaceAfter=2*mm)
SUBTITLE_STYLE = ParagraphStyle("subtitle", fontSize=10, fontName="Helvetica",
                                 textColor=colors.HexColor("#D5E8F5"), alignment=TA_CENTER, spaceAfter=4*mm)
SUBJ_STYLE = ParagraphStyle("subj", fontSize=11, fontName="Helvetica-Bold",
                              textColor=WHITE, spaceAfter=0, spaceBefore=0)
SECTION_STYLE = ParagraphStyle("section", fontSize=8, fontName="Helvetica-Bold",
                                textColor=colors.HexColor("#2C3E50"), spaceBefore=3*mm, spaceAfter=1*mm)
ITEM_STYLE = ParagraphStyle("item", fontSize=7.5, fontName="Helvetica",
                              textColor=colors.HexColor("#2C2C2C"), spaceAfter=1*mm, leading=10)

story = []

# ── Cover banner ────────────────────────────────────────────────────────────
banner_data = [[
    Paragraph("NEET PG 2026", TITLE_STYLE),
]]
banner_table = Table(banner_data, colWidths=[180*mm])
banner_table.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, -1), BLUE),
    ("ROUNDEDCORNERS", [4]),
    ("TOPPADDING", (0, 0), (-1, -1), 8),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
    ("LEFTPADDING", (0, 0), (-1, -1), 6),
    ("RIGHTPADDING", (0, 0), (-1, -1), 6),
]))
story.append(banner_table)

sub_data = [[Paragraph("HIGH-YIELD TOPICS DAILY CHECKLIST  |  Based on NEET PG 2025 Recall & PYQ Analysis", SUBTITLE_STYLE)]]
sub_table = Table(sub_data, colWidths=[180*mm])
sub_table.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#1A237E")),
    ("TOPPADDING", (0, 0), (-1, -1), 4),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
]))
story.append(sub_table)

# Legend
legend_style = ParagraphStyle("leg", fontSize=7.5, fontName="Helvetica",
                               textColor=DARK, alignment=TA_CENTER, spaceBefore=3*mm, spaceAfter=3*mm)
story.append(Paragraph(
    "<b>🔴 ULTRA HIGH</b>  (>8% each)   |   <b>🟠 HIGH</b>  (6–8% each)   |   "
    "<b>🟢 MEDIUM</b>  (2–5%)   |   <font color='#2C3E7A'><b>📡 RISING TREND</b></font>   |   "
    "<b>✓PYQ</b> = Directly tested in NEET PG 2025",
    legend_style
))
story.append(HRFlowable(width="100%", thickness=0.8, color=BLUE))
story.append(Spacer(1, 3*mm))

# ── Subject blocks ──────────────────────────────────────────────────────────
for subj in subjects:
    col = subj["color"]

    # Subject header row
    priority_style = ParagraphStyle("pr", fontSize=8, fontName="Helvetica-Bold",
                                     textColor=WHITE, alignment=TA_CENTER)
    qs_style = ParagraphStyle("qs", fontSize=8, fontName="Helvetica",
                               textColor=WHITE, alignment=TA_CENTER)

    hdr = Table(
        [[
            Paragraph(f"{subj['emoji']}  {subj['name']}", SUBJ_STYLE),
            Paragraph(subj["qs"], qs_style),
            Paragraph(subj["priority"], priority_style),
        ]],
        colWidths=[105*mm, 42*mm, 33*mm],
    )
    hdr.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), col),
        ("TOPPADDING", (0, 0), (-1, -1), 4),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
        ("LEFTPADDING", (0, 0), (-1, -1), 5),
        ("RIGHTPADDING", (0, 0), (-1, -1), 5),
        ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
        ("ROUNDEDCORNERS", [3]),
    ]))

    # Build checklist rows
    checklist_rows = []
    for sec_name, items in subj["sections"]:
        # Section sub-header
        checklist_rows.append(
            Table(
                [[Paragraph(f"► {sec_name}", SECTION_STYLE)]],
                colWidths=[180*mm],
            )
        )
        for item in items:
            row_table = Table(
                [[Checkbox(3.5*mm), Paragraph(item, ITEM_STYLE)]],
                colWidths=[6*mm, 174*mm],
            )
            row_table.setStyle(TableStyle([
                ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
                ("TOPPADDING", (0, 0), (-1, -1), 0),
                ("BOTTOMPADDING", (0, 0), (-1, -1), 1),
                ("LEFTPADDING", (0, 0), (0, 0), 5),
                ("LEFTPADDING", (0, 0), (1, 0), 2),
            ]))
            checklist_rows.append(row_table)

    content_table = Table(
        [[item] for item in checklist_rows],
        colWidths=[180*mm],
    )
    content_table.setStyle(TableStyle([
        ("BACKGROUND", (0, 0), (-1, -1), BOX_BG),
        ("BOX", (0, 0), (-1, -1), 0.5, colors.HexColor("#CCCCCC")),
        ("TOPPADDING", (0, 0), (-1, -1), 0),
        ("BOTTOMPADDING", (0, 0), (-1, -1), 0),
        ("LEFTPADDING", (0, 0), (-1, -1), 4),
        ("RIGHTPADDING", (0, 0), (-1, -1), 4),
    ]))

    story.append(KeepTogether([hdr, content_table]))
    story.append(Spacer(1, 3*mm))

# ── Image-Based Q Reference (last section) ─────────────────────────────────
story.append(PageBreak())

ibq_banner = Table([[Paragraph("📸  IMAGE-BASED QUESTIONS (IBQ) MASTER REFERENCE", TITLE_STYLE)]],
                    colWidths=[180*mm])
ibq_banner.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#1B4F72")),
    ("TOPPADDING", (0, 0), (-1, -1), 6),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
]))
story.append(ibq_banner)

note_style = ParagraphStyle("note", fontSize=8, fontName="Helvetica",
                              textColor=DARK, alignment=TA_CENTER,
                              spaceBefore=3*mm, spaceAfter=3*mm)
story.append(Paragraph(
    "~18–25% of NEET PG 2025 questions were IMAGE-BASED. Master visual recognition in these areas.",
    note_style
))

ibq_data = [
    ["Subject", "Image Types to Master", "✓"],
    ["Medicine", "ECG (MI, arrhythmias, blocks), peripheral smear, CXR patterns", "□"],
    ["Surgery", "X-rays (fractures, obstruction), CT abdomen (organ injuries)", "□"],
    ["OBG", "CTG interpretation, USG (placenta previa, fetal biometry)", "□"],
    ["Pathology", "Histopathology slides, gross specimens, IHC patterns", "□"],
    ["Microbiology", "Culture plates, Gram stains, parasite life cycles", "□"],
    ["Dermatology", "Clinical photos - psoriasis, leprosy, pemphigus, SJS", "□"],
    ["Ophthalmology", "Fundus images (DR, papilledema, CRVO), slit lamp", "□"],
    ["Radiology", "CXR signs, CT patterns, named radiological signs", "□"],
    ["Orthopaedics", "X-rays of classic fractures, bone tumor appearances", "□"],
    ["Neurology", "MRI brain (stroke, MS plaques, herniation)", "□"],
]

ibq_table = Table(ibq_data, colWidths=[32*mm, 133*mm, 15*mm])
ibq_table.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, 0), BLUE),
    ("TEXTCOLOR", (0, 0), (-1, 0), WHITE),
    ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
    ("FONTSIZE", (0, 0), (-1, 0), 8),
    ("FONTSIZE", (0, 1), (-1, -1), 7.5),
    ("ROWBACKGROUNDS", (0, 1), (-1, -1), [WHITE, GREY]),
    ("GRID", (0, 0), (-1, -1), 0.4, colors.HexColor("#AAAAAA")),
    ("ALIGN", (2, 0), (2, -1), "CENTER"),
    ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
    ("TOPPADDING", (0, 0), (-1, -1), 4),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
    ("LEFTPADDING", (0, 0), (-1, -1), 5),
]))
story.append(ibq_table)

# ── Cross-Integration table ─────────────────────────────────────────────────
story.append(Spacer(1, 5*mm))
integ_banner = Table([[Paragraph("🔗  CROSS-SUBJECT INTEGRATION PATTERNS  (>50% of paper)", TITLE_STYLE)]],
                      colWidths=[180*mm])
integ_banner.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#6C3483")),
    ("TOPPADDING", (0, 0), (-1, -1), 6),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
]))
story.append(integ_banner)

integ_data = [
    ["Integration", "Classic Example", "✓"],
    ["Medicine + Pharmacology", "STEMI management: antiplatelets + anticoagulants + thrombolytics", "□"],
    ["OBG + Pediatrics", "Maternal GDM → neonatal hypoglycaemia management", "□"],
    ["Surgery + Radiology", "CT abdomen findings guiding surgical decision", "□"],
    ["Pathology + Medicine", "Biopsy findings (AML M3) guiding specific chemotherapy", "□"],
    ["Microbiology + Pharmacology", "Antibiotic selection based on culture & sensitivity", "□"],
    ["Anatomy + Surgery", "Nerve at risk during specific surgical procedures", "□"],
    ["PSM + Medicine", "Screening test interpretation (sensitivity/specificity)", "□"],
]
integ_table = Table(integ_data, colWidths=[55*mm, 110*mm, 15*mm])
integ_table.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#6C3483")),
    ("TEXTCOLOR", (0, 0), (-1, 0), WHITE),
    ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
    ("FONTSIZE", (0, 0), (-1, 0), 8),
    ("FONTSIZE", (0, 1), (-1, -1), 7.5),
    ("ROWBACKGROUNDS", (0, 1), (-1, -1), [WHITE, colors.HexColor("#F5EEF8")]),
    ("GRID", (0, 0), (-1, -1), 0.4, colors.HexColor("#AAAAAA")),
    ("ALIGN", (2, 0), (2, -1), "CENTER"),
    ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
    ("TOPPADDING", (0, 0), (-1, -1), 4),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
    ("LEFTPADDING", (0, 0), (-1, -1), 5),
]))
story.append(integ_table)

# ── Daily Tracker ───────────────────────────────────────────────────────────
story.append(Spacer(1, 5*mm))
tracker_banner = Table([[Paragraph("📅  WEEKLY DAILY TRACKER  — Check off each day you revise a subject", TITLE_STYLE)]],
                        colWidths=[180*mm])
tracker_banner.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, -1), colors.HexColor("#117A65")),
    ("TOPPADDING", (0, 0), (-1, -1), 6),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 6),
]))
story.append(tracker_banner)

days = ["Subject", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
tracker_subjects = [
    "General Medicine", "OBGYN", "Surgery", "PSM", "Pharmacology",
    "Biochemistry", "Pathology", "Microbiology", "Anatomy", "Dermatology",
    "Pediatrics", "Forensic Medicine", "Ophthalmology", "ENT",
    "Radiology", "Orthopaedics", "Psychiatry", "Anaesthesia",
]
tracker_rows = [days]
for s in tracker_subjects:
    tracker_rows.append([s] + ["□"] * 7)

col_widths = [45*mm] + [19.3*mm] * 7
tracker_table = Table(tracker_rows, colWidths=col_widths)
tracker_table.setStyle(TableStyle([
    ("BACKGROUND", (0, 0), (-1, 0), colors.HexColor("#117A65")),
    ("TEXTCOLOR", (0, 0), (-1, 0), WHITE),
    ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
    ("FONTSIZE", (0, 0), (-1, 0), 8),
    ("FONTSIZE", (0, 1), (-1, -1), 8),
    ("ROWBACKGROUNDS", (0, 1), (-1, -1), [WHITE, colors.HexColor("#E8F8F5")]),
    ("GRID", (0, 0), (-1, -1), 0.5, colors.HexColor("#AAAAAA")),
    ("ALIGN", (1, 0), (-1, -1), "CENTER"),
    ("VALIGN", (0, 0), (-1, -1), "MIDDLE"),
    ("TOPPADDING", (0, 0), (-1, -1), 4),
    ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
    ("LEFTPADDING", (0, 0), (0, -1), 5),
]))
story.append(tracker_table)

# ── Footer note ─────────────────────────────────────────────────────────────
story.append(Spacer(1, 4*mm))
footer_style = ParagraphStyle("footer", fontSize=7, fontName="Helvetica",
                               textColor=colors.HexColor("#777777"), alignment=TA_CENTER)
story.append(Paragraph(
    "Generated by Orris AI  |  Based on NEET PG 2025 recall analysis and PrepLadder/MedExamsPrep PYQ data  |  "
    "Always cross-check with latest NBE guidelines and coaching institute updates.",
    footer_style
))

# ── Build ────────────────────────────────────────────────────────────────────
doc.build(story)
print(f"PDF generated: {OUTPUT}")

cd /home/daytona/workspace/neet-pg-checklist && python generate_checklist.py 2>&…

ls -lh /home/daytona/workspace/neet-pg-checklist/NEET_PG_HighYield_Checklist.pdf

ls -lh /home/daytona/workspace/neet-pg-checklist/ && file /home/daytona/workspac…

~/neet-pg-checklist/generate_checklist.js

const pptxgen = require("pptxgenjs");

const pres = new pptxgen();
pres.layout = "LAYOUT_WIDE"; // 13.3" x 7.5"
pres.title = "NEET PG High-Yield Topics Checklist 2026";
pres.author = "Orris AI";

// ── Colour palette ──────────────────────────────────────────────────────────
const C = {
  navyDark:  "0D1B4B",
  navy:      "1A2B6D",
  navyMid:   "2C3E7A",
  red:       "C0392B",
  redLight:  "F9EBEA",
  orange:    "D35400",
  orangeLight:"FEF5EC",
  green:     "1A7A47",
  greenLight:"E9F7EF",
  purple:    "6C3483",
  purpleLight:"F5EEF8",
  teal:      "117A65",
  tealLight: "E8F8F5",
  blue:      "1B4F72",
  blueLight: "EAF4FB",
  white:     "FFFFFF",
  offWhite:  "F8F9FA",
  grey:      "ECF0F1",
  darkText:  "1C2833",
  midText:   "444444",
  lightText: "777777",
  checkbox:  "555555",
  gold:      "F0B429",
};

// ── Helper: draw a checkbox square ─────────────────────────────────────────
function addCheckbox(slide, x, y, size = 0.13) {
  slide.addShape(pres.ShapeType.rect, {
    x, y, w: size, h: size,
    line: { color: C.checkbox, width: 0.8 },
    fill: { color: C.white },
  });
}

// ── Helper: subject header bar ─────────────────────────────────────────────
function addSubjectHeader(slide, emoji, name, qs, priority, bgColor, y) {
  slide.addShape(pres.ShapeType.rect, {
    x: 0.3, y, w: 12.7, h: 0.38,
    fill: { color: bgColor },
    line: { color: bgColor },
    shadow: { type: "outer", blur: 4, offset: 1, angle: 45, color: "000000", opacity: 0.15 },
  });
  slide.addText(`${emoji}  ${name}`, {
    x: 0.38, y: y + 0.025, w: 7.5, h: 0.33,
    fontSize: 12, bold: true, color: C.white,
    fontFace: "Calibri", valign: "middle", margin: 0,
  });
  slide.addText(qs, {
    x: 7.9, y: y + 0.025, w: 2.5, h: 0.33,
    fontSize: 9, color: C.white, fontFace: "Calibri",
    align: "center", valign: "middle", margin: 0,
  });
  slide.addShape(pres.ShapeType.rect, {
    x: 10.5, y: y + 0.04, w: 2.2, h: 0.3,
    fill: { color: "FFFFFF", transparency: 80 },
    line: { color: "FFFFFF", transparency: 60 },
  });
  slide.addText(priority, {
    x: 10.5, y: y + 0.04, w: 2.2, h: 0.3,
    fontSize: 8, bold: true, color: C.white,
    fontFace: "Calibri", align: "center", valign: "middle", margin: 0,
  });
}

// ── Helper: section sub-header ─────────────────────────────────────────────
function addSectionHeader(slide, text, x, y, w) {
  slide.addText(`► ${text}`, {
    x, y, w, h: 0.22,
    fontSize: 8.5, bold: true, color: C.navyMid,
    fontFace: "Calibri", valign: "middle", margin: 0,
    underline: { style: "sng" },
  });
}

// ── Helper: topic row with checkbox ────────────────────────────────────────
function addTopic(slide, text, x, y, w) {
  addCheckbox(slide, x, y + 0.03);
  // highlight ✓PYQ in gold
  const parts = text.split("✓PYQ");
  if (parts.length > 1) {
    slide.addText([
      { text: parts[0], options: { color: C.darkText } },
      { text: "✓PYQ", options: { color: C.gold, bold: true } },
      { text: parts[1] || "", options: { color: C.darkText } },
    ], {
      x: x + 0.18, y, w: w - 0.18, h: 0.22,
      fontSize: 7.5, fontFace: "Calibri", valign: "middle", margin: 0,
    });
  } else {
    slide.addText(text, {
      x: x + 0.18, y, w: w - 0.18, h: 0.22,
      fontSize: 7.5, color: C.darkText, fontFace: "Calibri",
      valign: "middle", margin: 0,
    });
  }
}

// ══════════════════════════════════════════════════════════════════════════
// SLIDE 1 — Cover
// ══════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();

  // Background gradient effect via two rects
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 7.5,
    fill: { color: C.navyDark }, line: { color: C.navyDark },
  });
  // Accent stripe
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 5.5, w: 13.3, h: 2,
    fill: { color: C.navyMid }, line: { color: C.navyMid },
  });
  // Gold top accent bar
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 0.12,
    fill: { color: C.gold }, line: { color: C.gold },
  });

  // Decorative circle
  s.addShape(pres.ShapeType.ellipse, {
    x: 9.5, y: -1.5, w: 5, h: 5,
    fill: { color: C.navyMid }, line: { color: C.navyMid },
  });
  s.addShape(pres.ShapeType.ellipse, {
    x: 10, y: -1, w: 4, h: 4,
    fill: { color: "1D3461" }, line: { color: "1D3461" },
  });

  s.addText("NEET PG 2026", {
    x: 0.8, y: 1.0, w: 9, h: 0.9,
    fontSize: 48, bold: true, color: C.white,
    fontFace: "Calibri", charSpacing: 3,
  });
  s.addText("HIGH-YIELD TOPICS", {
    x: 0.8, y: 1.9, w: 9, h: 0.7,
    fontSize: 36, bold: true, color: C.gold,
    fontFace: "Calibri", charSpacing: 2,
  });
  s.addText("DAILY CHECKLIST", {
    x: 0.8, y: 2.6, w: 9, h: 0.55,
    fontSize: 28, bold: false, color: "B0C4DE",
    fontFace: "Calibri", charSpacing: 6,
  });

  // Divider
  s.addShape(pres.ShapeType.rect, {
    x: 0.8, y: 3.3, w: 5, h: 0.04,
    fill: { color: C.gold }, line: { color: C.gold },
  });

  s.addText("Based on NEET PG 2025 Recall Analysis & PYQ Data", {
    x: 0.8, y: 3.5, w: 9, h: 0.35,
    fontSize: 12, color: "A9CCE3", fontFace: "Calibri", italic: true,
  });
  s.addText("200 Questions  |  800 Marks  |  3.5 Hours  |  ~50% Image-Based  |  ~70% Clinical Vignette", {
    x: 0.8, y: 3.95, w: 11, h: 0.3,
    fontSize: 10, color: "85C1E9", fontFace: "Calibri",
  });

  // Legend boxes
  const legends = [
    { label: "🔴 ULTRA HIGH", sub: ">8% weightage", bg: C.red },
    { label: "🟠 HIGH", sub: "6–8% weightage", bg: C.orange },
    { label: "🟢 MEDIUM", sub: "2–5% weightage", bg: C.green },
    { label: "📡 RISING", sub: "Increasing trend", bg: C.blue },
  ];
  legends.forEach((l, i) => {
    const x = 0.8 + i * 3.1;
    s.addShape(pres.ShapeType.rect, {
      x, y: 5.7, w: 2.8, h: 0.7,
      fill: { color: l.bg }, line: { color: l.bg },
      rectRadius: 0.05,
    });
    s.addText(l.label, {
      x, y: 5.72, w: 2.8, h: 0.35,
      fontSize: 10, bold: true, color: C.white,
      fontFace: "Calibri", align: "center", valign: "middle", margin: 0,
    });
    s.addText(l.sub, {
      x, y: 6.07, w: 2.8, h: 0.28,
      fontSize: 8, color: "DDDDDD",
      fontFace: "Calibri", align: "center", valign: "middle", margin: 0,
    });
  });

  s.addText("✓PYQ = Directly tested in NEET PG 2025  |  Print each slide & tick checkboxes daily", {
    x: 0.5, y: 7.1, w: 12.3, h: 0.28,
    fontSize: 8, color: C.lightText, fontFace: "Calibri",
    align: "center", italic: true,
  });
}

// ══════════════════════════════════════════════════════════════════════════
// Subject data
// ══════════════════════════════════════════════════════════════════════════
const subjects = [
  {
    name: "GENERAL MEDICINE", emoji: "🏥", qs: "30 Qs | 15%",
    priority: "🔴 ULTRA HIGH", bg: C.red, lightBg: C.redLight,
    cols: [
      {
        sections: [
          { name: "Cardiology", items: [
            "STEMI management protocol (thrombolytics vs PCI window)",
            "NSTEMI vs UA — ECG & troponin differences",
            "Heart failure — HFrEF vs HFpEF, BNP levels",
            "Infective endocarditis — Duke's criteria",
            "Atrial fibrillation — rate vs rhythm control",
            "ECG interpretation: MI, arrhythmias, LVH, RVH",
          ]},
          { name: "Respiratory", items: [
            "ARDS — Berlin definition, Low VT + High PEEP ✓PYQ",
            "Interstitial lung disease — UIP vs NSIP patterns",
            "COPD exacerbation — NIV indications",
            "Pneumothorax types and management algorithm",
          ]},
          { name: "Infectious Disease", items: [
            "IRIS in HIV-TB co-infection ✓PYQ",
            "TB drug resistance — MDR, XDR definitions",
            "HIV staging, CD4 count thresholds for OI prophylaxis",
            "Malaria — falciparum complications, treatment",
            "Meningitis — empirical antibiotic choice by age",
          ]},
        ]
      },
      {
        sections: [
          { name: "Endocrinology", items: [
            "Addison's disease — features, investigations ✓PYQ",
            "Paget's disease of bone — ALP raised, treatment ✓PYQ",
            "Cushing's syndrome — ACTH-dependent vs independent",
            "Hypothyroidism vs Hyperthyroidism — drug targets",
            "Diabetes insipidus — central vs nephrogenic",
          ]},
          { name: "Rheumatology", items: [
            "Pannus formation in Rheumatoid Arthritis ✓PYQ",
            "SLE — ANA, anti-dsDNA, anti-Sm antibodies",
            "Gout vs Pseudogout — crystal types, joints",
            "Scleroderma subtypes — anti-centromere vs anti-Scl-70",
          ]},
          { name: "Others", items: [
            "Fat embolism syndrome — Gurd's criteria ✓PYQ",
            "Liver cirrhosis complications — SBP, HRS, HE",
            "CKD management — stages, dialysis indications",
            "Paraneoplastic syndromes",
          ]},
        ]
      }
    ]
  },
  {
    name: "OBSTETRICS & GYNECOLOGY", emoji: "🤱", qs: "20 Qs | 10%",
    priority: "🔴 ULTRA HIGH", bg: C.red, lightBg: C.redLight,
    cols: [
      {
        sections: [
          { name: "Obstetrics", items: [
            "Atonic PPH — Bakri balloon, stepwise management ✓PYQ",
            "Cord prolapse — immediate management algorithm ✓PYQ",
            "Shoulder dystocia — McRoberts maneuver, HELPERR ✓PYQ",
            "Episiotomy repair — closure sequence ✓PYQ",
            "Antepartum hemorrhage — placenta previa vs abruption",
            "Pre-eclampsia / Eclampsia — MgSO4 protocol",
            "Gestational diabetes — screening, management",
            "IUGR — symmetric vs asymmetric causes",
          ]},
        ]
      },
      {
        sections: [
          { name: "Gynecology", items: [
            "Adenomyosis — MRI as gold standard ✓PYQ",
            "Premature ovarian insufficiency — ↑FSH, ↓AMH ✓PYQ",
            "PCOS — Rotterdam criteria, hormonal profile",
            "Cervical cancer — HPV types, FIGO staging",
            "Endometrial cancer — risk factors, staging",
            "Ovarian tumors — tumor markers matched to types",
            "AUB — PALM-COEIN classification",
          ]},
        ]
      }
    ]
  },
  {
    name: "SURGERY", emoji: "🔪", qs: "18 Qs | 9%",
    priority: "🔴 ULTRA HIGH", bg: C.red, lightBg: C.redLight,
    cols: [
      {
        sections: [
          { name: "GI Surgery", items: [
            "Achalasia cardia — manometry findings, treatment ✓PYQ",
            "Courvoisier's law (Ca head of pancreas) ✓PYQ",
            "Parks classification of anal fistula ✓PYQ",
            "Peptic ulcer disease — complications, surgery indications",
            "Bowel obstruction — X-ray findings, management",
            "Colorectal cancer — Duke's/AJCC staging",
          ]},
        ]
      },
      {
        sections: [
          { name: "Trauma & Other Surgery", items: [
            "Diffuse axonal injury in RTA — imaging findings ✓PYQ",
            "Congenital diaphragmatic hernia ✓PYQ",
            "ATLS primary & secondary survey sequence",
            "Hepatobiliary — biliary obstruction, cholangitis",
            "Thyroid surgery — nerve injuries (RLN, SLN)",
            "Breast cancer — sentinel node biopsy, staging",
          ]},
        ]
      }
    ]
  },
  {
    name: "PSM / COMMUNITY MEDICINE", emoji: "🏘️", qs: "16 Qs | 8%",
    priority: "🟠 HIGH", bg: C.orange, lightBg: C.orangeLight,
    cols: [
      {
        sections: [
          { name: "Biostatistics", items: [
            "Sensitivity, Specificity, PPV, NPV — calculations",
            "Study designs — levels of evidence pyramid",
            "Relative risk vs Odds ratio",
            "Type I & Type II errors",
            "Standard deviation, SE, Confidence Intervals",
          ]},
        ]
      },
      {
        sections: [
          { name: "National Programs & Epidemiology", items: [
            "NIP vaccine schedule — all ages, updated ✓",
            "National programs — NHM, RMNCH+A targets",
            "Nutritional indices — Gomez, IAP classification",
            "Epidemiology — incidence, prevalence, attack rate",
            "Screening test criteria — Wilson & Jungner",
            "Disease notification — notifiable diseases list",
          ]},
        ]
      }
    ]
  },
  {
    name: "PHARMACOLOGY", emoji: "💊", qs: "15 Qs | 7.5%",
    priority: "🟠 HIGH", bg: C.orange, lightBg: C.orangeLight,
    cols: [
      {
        sections: [
          { name: "Antimicrobials (Very High Yield)", items: [
            "Beta-lactam mechanism & resistance mechanisms",
            "Aminoglycosides — mechanism, ototoxicity, monitoring",
            "Fluoroquinolones — spectrum, contraindications",
            "Macrolides — CYP450 interactions",
            "Anti-TB drugs — MOA, key side effects (RIPE)",
            "Antifungals — azoles vs amphotericin B",
          ]},
        ]
      },
      {
        sections: [
          { name: "CVS & Other Drugs", items: [
            "Anti-hypertensives — mechanism by class",
            "Anti-arrhythmics — Vaughan-Williams classification",
            "Anticoagulants — heparin vs warfarin vs NOACs",
            "Antiplatelets — aspirin, clopidogrel mechanisms",
            "NSAIDs — COX selectivity, GI/CV/renal effects",
            "Classic drug-drug interactions — high-yield pairs",
          ]},
        ]
      }
    ]
  },
  {
    name: "BIOCHEMISTRY", emoji: "🧪", qs: "15 Qs | 7.5%",
    priority: "🟠 HIGH", bg: C.orange, lightBg: C.orangeLight,
    cols: [
      {
        sections: [
          { name: "Metabolism & Enzymes", items: [
            "TCA cycle — rate-limiting enzymes",
            "Urea cycle — enzymes, deficiencies, hyperammonemia",
            "Fatty acid oxidation — beta-oxidation steps",
            "Glycogen storage diseases — type & enzyme defect",
            "Amino acid disorders — PKU, alkaptonuria, homocystinuria",
            "Lysosomal storage diseases — Gaucher, Niemann-Pick",
          ]},
        ]
      },
      {
        sections: [
          { name: "Clinical Biochemistry", items: [
            "Vitamin deficiencies — clinical features matched",
            "Post-ileal resection → Vit B12 deficiency ✓PYQ",
            "Renal osteodystrophy — 1α-hydroxylase, Calcitriol ✓PYQ",
            "Tumor markers — AFP, CEA, CA125, PSA, CA19-9",
            "Enzyme markers in MI — CK-MB, Troponin timelines",
            "Porphyrias — type, presentation",
          ]},
        ]
      }
    ]
  },
  {
    name: "PATHOLOGY", emoji: "🔬", qs: "12 Qs | 6%",
    priority: "🟠 HIGH", bg: C.orange, lightBg: C.orangeLight,
    cols: [
      {
        sections: [
          { name: "Hematology", items: [
            "AML M3 — t(15;17), PML-RARA, ATRA therapy ✓PYQ",
            "Follicular lymphoma — t(14;18), BCL2 ✓PYQ",
            "CML — t(9;22) Philadelphia chromosome, BCR-ABL",
            "Peripheral smear — anaemia type recognition",
            "Coagulation disorders — hemophilia A vs B",
          ]},
        ]
      },
      {
        sections: [
          { name: "General Pathology", items: [
            "Primary biliary cholangitis — AMA positive ✓PYQ",
            "Oncogenes vs tumor suppressors — classic examples",
            "Amyloidosis types (AA, AL) — Congo red staining",
            "Granuloma diseases — causes, features",
            "Histopathology image recognition — practice slides",
          ]},
        ]
      }
    ]
  },
  {
    name: "MICROBIOLOGY", emoji: "🦠", qs: "12 Qs | 6%",
    priority: "🟠 HIGH", bg: C.orange, lightBg: C.orangeLight,
    cols: [
      {
        sections: [
          { name: "Bacteriology", items: [
            "Aspergillus — acute angle branching septate hyphae ✓PYQ",
            "Culture media — organism matched to specific media",
            "Gram +ve cocci — Staph vs Strep differentiation",
            "Gram -ve organisms — Enterobacteriaceae, Pseudomonas",
            "Staining techniques — Gram, ZN, special stains",
            "STIs — causative organisms, lab diagnosis, treatment",
          ]},
        ]
      },
      {
        sections: [
          { name: "Virology & Immunology", items: [
            "HIV — structure, stages, CD4 counts",
            "Hepatitis viruses — serological markers timeline",
            "Herpes viruses — types and associated diseases",
            "Complement system — pathways, deficiencies",
            "Hypersensitivity reactions — type I–IV, examples",
          ]},
        ]
      }
    ]
  },
  {
    name: "ANATOMY", emoji: "🧬", qs: "9 Qs | 4.5%",
    priority: "🟢 MEDIUM", bg: C.green, lightBg: C.greenLight,
    cols: [
      {
        sections: [
          { name: "High-Yield Anatomy", items: [
            "Nerve injuries at classical sites (radial, ulnar, median, peroneal)",
            "Dual nerve supply structures — Digastric (CN V3 + VII) ✓PYQ",
            "Embryology — congenital anomalies (CDH, VSD, cleft palate)",
            "Anatomical landmarks in surgery",
            "Triangle of auscultation, femoral triangle contents",
            "Blood supply to head of femur — clinical relevance",
          ]},
        ]
      },
      {
        sections: [
          { name: "High-Yield Dermatology 🩺  |  8 Qs | 4%", items: [
            "Vesiculobullous disorders — pemphigus vs pemphigoid",
            "Leprosy — type, treatment, reactions (Type 1 & 2)",
            "Psoriasis — Auspitz sign, nail changes, treatment",
            "STI skin manifestations — primary syphilis, condyloma",
            "Drug rashes — SJS, TEN, DRESS syndrome triggers",
          ]},
        ]
      }
    ]
  },
  {
    name: "FORENSIC MEDICINE & PEDIATRICS", emoji: "⚖️", qs: "6 + 5 Qs",
    priority: "🟢 MEDIUM", bg: C.green, lightBg: C.greenLight,
    cols: [
      {
        sections: [
          { name: "Forensic Medicine — 6 Qs | 3%", items: [
            "IPC Sections — 302, 304, 304A, 376, 498A",
            "Rigor mortis — timing, exceptions",
            "Postmortem changes — sequence",
            "Poisoning — organophosphate, CO, cyanide (features + antidotes)",
            "Drowning — dry vs wet, diatom test",
            "Legal aspects — consent, MLC, medical negligence",
          ]},
        ]
      },
      {
        sections: [
          { name: "Pediatrics — 5 Qs | 2.5%", items: [
            "HIV prophylaxis in newborn — Nevirapine ✓PYQ",
            "Neonatal jaundice — physiological vs pathological",
            "Immunization schedule — NIP (updated)",
            "Growth milestones — weight, height, head circumference",
            "Developmental milestones by age",
            "Respiratory distress in newborn — surfactant",
          ]},
        ]
      }
    ]
  },
  {
    name: "SHORT SUBJECTS (Ophthal, ENT, Ortho, Psych, Radio, Anaes)", emoji: "📡", qs: "~35 Qs combined",
    priority: "📡 RISING TREND", bg: C.blue, lightBg: C.blueLight,
    cols: [
      {
        sections: [
          { name: "Ophthalmology — 5 Qs", items: [
            "Glaucoma — open vs closed angle, tonometry",
            "Diabetic retinopathy stages — fundus image recognition",
            "Uveitis — anterior vs posterior, causes",
            "Papilledema — causes, fundoscopy findings",
            "Optics — concave/convex lens, refractive errors",
          ]},
          { name: "ENT — 5 Qs", items: [
            "Otitis media — acute, chronic, cholesteatoma",
            "Ear instruments identification",
            "Hearing loss — conductive vs sensorineural (Rinne, Weber)",
            "Laryngeal disorders — vocal cord palsy",
          ]},
          { name: "Anaesthesia — 4 Qs", items: [
            "ASA physical status classification",
            "Gas laws — Boyle's, Charles', Henry's",
            "Muscle relaxants — depolarising vs non-depolarising",
            "CPR protocol (2020 AHA) — compression ratio",
          ]},
        ]
      },
      {
        sections: [
          { name: "Radiology — 5–10 Qs ↑RISING", items: [
            "X-ray signs — Fleischer, Golden S, Sail, Westermark",
            "CT abdomen — bowel obstruction, pancreatic pathology",
            "MRI — brain lesions, spinal cord patterns",
            "Contrast agents — types, nephrotoxicity precautions",
            "Radiation safety — ALARA, dose limits",
          ]},
          { name: "Orthopedics — 5 Qs", items: [
            "Fracture eponyms — Colles', Smith's, Monteggia, Galeazzi",
            "Compartment syndrome — features, fasciotomy",
            "Bone tumors — osteosarcoma, Ewing's sarcoma (X-ray)",
            "Nerve injuries at specific fracture sites",
          ]},
          { name: "Psychiatry", items: [
            "PTSD vs Acute Stress Disorder — <1 month = ASD ✓PYQ",
            "Schizophrenia — Schneider's first rank symptoms",
            "Antipsychotic side effects — EPS, tardive dyskinesia",
            "Lithium toxicity — features, monitoring",
          ]},
        ]
      }
    ]
  },
];

// ══════════════════════════════════════════════════════════════════════════
// BUILD SUBJECT SLIDES
// ══════════════════════════════════════════════════════════════════════════
subjects.forEach(subj => {
  const s = pres.addSlide();

  // Slide background
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 7.5,
    fill: { color: C.offWhite }, line: { color: C.offWhite },
  });
  // Top accent bar
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 0.08,
    fill: { color: subj.bg }, line: { color: subj.bg },
  });

  // Subject header
  addSubjectHeader(s, subj.emoji, subj.name, subj.qs, subj.priority, subj.bg, 0.1);

  // Two columns
  const colX = [0.3, 6.8];
  const colW = 6.2;

  subj.cols.forEach((col, ci) => {
    let y = 0.62;
    const x = colX[ci];

    col.sections.forEach(sec => {
      // Section bg panel
      const panelH = sec.items.length * 0.235 + 0.27;
      s.addShape(pres.ShapeType.rect, {
        x, y, w: colW, h: panelH,
        fill: { color: subj.lightBg }, line: { color: subj.bg, width: 0.5 },
      });

      addSectionHeader(s, sec.name, x + 0.1, y + 0.02, colW - 0.2);
      let iy = y + 0.25;

      sec.items.forEach(item => {
        addCheckbox(s, x + 0.12, iy + 0.04);
        const parts = item.split("✓PYQ");
        if (parts.length > 1) {
          s.addText([
            { text: parts[0], options: { color: C.darkText } },
            { text: "✓PYQ", options: { color: C.gold, bold: true } },
            { text: parts[1] || "", options: { color: C.darkText } },
          ], {
            x: x + 0.32, y: iy, w: colW - 0.38, h: 0.23,
            fontSize: 7.5, fontFace: "Calibri", valign: "middle", margin: 0,
          });
        } else {
          s.addText(item, {
            x: x + 0.32, y: iy, w: colW - 0.38, h: 0.23,
            fontSize: 7.5, color: C.darkText, fontFace: "Calibri",
            valign: "middle", margin: 0,
          });
        }
        iy += 0.235;
      });

      y += panelH + 0.1;
    });
  });

  // Bottom note strip
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 7.3, w: 13.3, h: 0.2,
    fill: { color: C.grey }, line: { color: C.grey },
  });
  s.addText("NEET PG 2026 High-Yield Checklist  |  Tick boxes as you revise each topic", {
    x: 0.3, y: 7.3, w: 12.7, h: 0.2,
    fontSize: 7, color: C.lightText, fontFace: "Calibri",
    align: "center", valign: "middle", margin: 0,
  });
});

// ══════════════════════════════════════════════════════════════════════════
// SLIDE: Image-Based Questions Reference
// ══════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 7.5,
    fill: { color: C.offWhite }, line: { color: C.offWhite },
  });
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 0.08,
    fill: { color: C.blue }, line: { color: C.blue },
  });

  s.addShape(pres.ShapeType.rect, {
    x: 0.3, y: 0.1, w: 12.7, h: 0.38,
    fill: { color: C.blue }, line: { color: C.blue },
  });
  s.addText("📸  IMAGE-BASED QUESTIONS (IBQ) — Master Reference", {
    x: 0.38, y: 0.12, w: 12.5, h: 0.33,
    fontSize: 13, bold: true, color: C.white, fontFace: "Calibri",
    align: "center", valign: "middle", margin: 0,
  });

  s.addText("~18–25% of NEET PG 2025 questions were IMAGE-BASED.  Master visual recognition in these areas:", {
    x: 0.5, y: 0.58, w: 12.3, h: 0.28,
    fontSize: 9, color: C.midText, fontFace: "Calibri", align: "center", italic: true,
  });

  const ibq = [
    { subj: "Medicine", types: "ECG (MI, arrhythmias, blocks), peripheral smear, CXR patterns" },
    { subj: "Surgery", types: "X-rays (fractures, obstruction), CT abdomen findings" },
    { subj: "OBG", types: "CTG interpretation, USG (placenta previa, fetal biometry, anomalies)" },
    { subj: "Pathology", types: "Histopathology slides, gross specimens, IHC patterns" },
    { subj: "Microbiology", types: "Culture plates, Gram stains, parasite life cycles, special stains" },
    { subj: "Dermatology", types: "Clinical photos — psoriasis, leprosy, pemphigus, SJS, fungal" },
    { subj: "Ophthalmology", types: "Fundus images (DR, papilledema, CRVO), slit lamp findings" },
    { subj: "Radiology", types: "CXR signs, CT patterns, named radiological signs (Fleischer, Sail)" },
    { subj: "Orthopaedics", types: "X-rays of classic fractures, bone tumor appearances, Looser's zones" },
    { subj: "Neurology", types: "MRI brain (stroke, MS plaques, herniation, SDH vs EDH)" },
  ];

  ibq.forEach((row, i) => {
    const y = 0.92 + i * 0.55;
    const bg = i % 2 === 0 ? C.white : C.blueLight;
    s.addShape(pres.ShapeType.rect, {
      x: 0.3, y, w: 12.7, h: 0.52,
      fill: { color: bg }, line: { color: "CCCCCC", width: 0.5 },
    });
    addCheckbox(s, 0.4, y + 0.18);
    s.addText(row.subj, {
      x: 0.62, y, w: 2.0, h: 0.52,
      fontSize: 9, bold: true, color: C.navyMid, fontFace: "Calibri",
      valign: "middle", margin: 0,
    });
    s.addText(row.types, {
      x: 2.7, y, w: 10.1, h: 0.52,
      fontSize: 8.5, color: C.darkText, fontFace: "Calibri",
      valign: "middle", margin: 0,
    });
  });
}

// ══════════════════════════════════════════════════════════════════════════
// SLIDE: Cross-Subject Integration + Weekly Tracker
// ══════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  s.addShape(pres.ShapeType.rect, {
    x: 0, y: 0, w: 13.3, h: 7.5,
    fill: { color: C.offWhite }, line: { color: C.offWhite },
  });

  // Integration header
  s.addShape(pres.ShapeType.rect, {
    x: 0.3, y: 0.1, w: 12.7, h: 0.35,
    fill: { color: C.purple }, line: { color: C.purple },
  });
  s.addText("🔗  CROSS-SUBJECT INTEGRATION PATTERNS  (>50% of NEET PG 2025 paper)", {
    x: 0.38, y: 0.12, w: 12.5, h: 0.3,
    fontSize: 11, bold: true, color: C.white, fontFace: "Calibri",
    align: "center", valign: "middle", margin: 0,
  });

  const integrations = [
    { combo: "Medicine + Pharmacology", example: "STEMI management: antiplatelets + anticoagulants + thrombolytics choice" },
    { combo: "OBG + Pediatrics", example: "Maternal GDM → neonatal hypoglycaemia; maternal HIV → newborn prophylaxis" },
    { combo: "Surgery + Radiology", example: "CT abdomen findings directing surgical decision-making" },
    { combo: "Pathology + Medicine", example: "Biopsy findings (AML M3 t15;17) guiding specific chemotherapy (ATRA)" },
    { combo: "Microbiology + Pharmacology", example: "Antibiotic selection based on culture & sensitivity + organism type" },
    { combo: "Anatomy + Surgery", example: "Nerve at risk during thyroidectomy, inguinal hernia repair, mastectomy" },
    { combo: "PSM + Medicine", example: "Screening test sensitivity/specificity in clinical scenario" },
  ];

  integrations.forEach((row, i) => {
    const y = 0.52 + i * 0.38;
    const bg = i % 2 === 0 ? C.purpleLight : C.white;
    s.addShape(pres.ShapeType.rect, {
      x: 0.3, y, w: 12.7, h: 0.36,
      fill: { color: bg }, line: { color: "CCCCCC", width: 0.4 },
    });
    addCheckbox(s, 0.4, y + 0.11);
    s.addText(row.combo, {
      x: 0.62, y, w: 3.5, h: 0.36,
      fontSize: 8.5, bold: true, color: C.purple, fontFace: "Calibri",
      valign: "middle", margin: 0,
    });
    s.addText(row.example, {
      x: 4.2, y, w: 8.6, h: 0.36,
      fontSize: 8, color: C.darkText, fontFace: "Calibri",
      valign: "middle", margin: 0,
    });
  });

  // Tracker header
  const trackerY = 3.25;
  s.addShape(pres.ShapeType.rect, {
    x: 0.3, y: trackerY, w: 12.7, h: 0.35,
    fill: { color: C.teal }, line: { color: C.teal },
  });
  s.addText("📅  WEEKLY REVISION TRACKER  —  Tick each day you revise a subject", {
    x: 0.38, y: trackerY + 0.02, w: 12.5, h: 0.3,
    fontSize: 11, bold: true, color: C.white, fontFace: "Calibri",
    align: "center", valign: "middle", margin: 0,
  });

  const days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"];
  const trackerSubjs = [
    "General Medicine", "OBG", "Surgery", "PSM",
    "Pharmacology", "Biochemistry", "Pathology", "Microbiology",
    "Anatomy", "Dermatology", "Pediatrics", "FMT",
    "Ophthalmology", "ENT", "Radiology", "Orthopaedics",
    "Psychiatry", "Anaesthesia",
  ];

  // Header row
  const hdrY = trackerY + 0.37;
  s.addShape(pres.ShapeType.rect, {
    x: 0.3, y: hdrY, w: 12.7, h: 0.28,
    fill: { color: C.navyMid }, line: { color: C.navyMid },
  });
  s.addText("Subject", {
    x: 0.32, y: hdrY, w: 3.2, h: 0.28,
    fontSize: 7.5, bold: true, color: C.white, fontFace: "Calibri",
    valign: "middle", margin: 2,
  });
  days.forEach((d, i) => {
    s.addText(d, {
      x: 3.6 + i * 1.35, y: hdrY, w: 1.3, h: 0.28,
      fontSize: 7.5, bold: true, color: C.white, fontFace: "Calibri",
      align: "center", valign: "middle", margin: 0,
    });
  });

  // Data rows — two side-by-side columns of 9 subjects each
  const half = Math.ceil(trackerSubjs.length / 2);
  for (let i = 0; i < half; i++) {
    const rowY = hdrY + 0.28 + i * 0.26;
    const bg = i % 2 === 0 ? C.white : C.tealLight;

    // LEFT column (subject index i)
    s.addShape(pres.ShapeType.rect, {
      x: 0.3, y: rowY, w: 6.15, h: 0.25,
      fill: { color: bg }, line: { color: "CCCCCC", width: 0.3 },
    });
    s.addText(trackerSubjs[i], {
      x: 0.35, y: rowY, w: 2.5, h: 0.25,
      fontSize: 7, color: C.darkText, fontFace: "Calibri",
      valign: "middle", margin: 2,
    });
    for (let d = 0; d < 7; d++) {
      addCheckbox(s, 0.3 + 2.63 + d * 0.5 + 0.17, rowY + 0.055, 0.13);
    }

    // RIGHT column (subject index i + half)
    if (i + half < trackerSubjs.length) {
      s.addShape(pres.ShapeType.rect, {
        x: 6.75, y: rowY, w: 6.25, h: 0.25,
        fill: { color: bg }, line: { color: "CCCCCC", width: 0.3 },
      });
      s.addText(trackerSubjs[i + half], {
        x: 6.8, y: rowY, w: 2.5, h: 0.25,
        fontSize: 7, color: C.darkText, fontFace: "Calibri",
        valign: "middle", margin: 2,
      });
      for (let d = 0; d < 7; d++) {
        addCheckbox(s, 6.75 + 2.63 + d * 0.5 + 0.17, rowY + 0.055, 0.13);
      }
    }
  }

  // Footer
  s.addText("Generated by Orris AI  |  Based on NEET PG 2025 recall & PrepLadder/MedExamsPrep PYQ data  |  Cross-check with latest NBE guidelines", {
    x: 0.3, y: 7.3, w: 12.7, h: 0.18,
    fontSize: 6.5, color: C.lightText, fontFace: "Calibri",
    align: "center", italic: true, margin: 0,
  });
}

// ══════════════════════════════════════════════════════════════════════════
// Write file
// ══════════════════════════════════════════════════════════════════════════
const OUTPUT = "/home/daytona/workspace/neet-pg-checklist/NEET_PG_HighYield_Checklist.pptx";
pres.writeFile({ fileName: OUTPUT }).then(() => {
  console.log("PPTX generated: " + OUTPUT);
}).catch(err => {
  console.error("Error:", err);
  process.exit(1);
});

cd /home/daytona/workspace/neet-pg-checklist && node generate_checklist.js 2>&1

ls -lh /home/daytona/workspace/neet-pg-checklist/NEET_PG_HighYield_Checklist.ppt…