Data Sources & Methodology
Complete transparency into how MedAdmission compiles, cross-verifies, normalizes, and refreshes medical admission records from official Indian regulatory authorities.
Official Data Architecture
MedAdmission does not invent, simulate without context, or buy unverified candidate lists from third-party lead brokers. Every data field shown across our college directory, predictive tools, and cutoff archives directly maps to public gazettes, institutional disclosures, and counselling board releases.
Primary Regulatory Sources
The official statutory foundations underpinning every institutional dataset on MedAdmission.
1. National Medical Commission (NMC)
Data extracted: Official college directory, institutional recognition status (Permitted vs Recognized), annual MBBS & BDS approved intake capacity, establishment year, and affiliating university.
2. Medical Counselling Committee (MCC)
Data extracted: All India Quota (15%), Central Universities (AIIMS, JIPMER, AMU, BHU, Jamia), and 100% Deemed Universities round-wise opening and closing All India Ranks (AIR) across R1, R2, R3, and Stray Vacancy.
3. National Testing Agency (NTA)
Data extracted: NEET UG information bulletin, qualifying percentile cutoffs per category (50th percentile UR/EWS, 40th percentile OBC/SC/ST, 45th percentile PwD), and marks-vs-rank score distributions.
4. State Counselling Authorities (36 States & UTs)
Data extracted: 85% State Quota merit lists, state-specific category reservations, regional subquotas (e.g. 70% Regional Quota in Maharashtra, 7.5% Govt School in Tamil Nadu), and state round closing ranks.
How We Process Specific Data Fields
Seat Matrices & Category Reservations
Seat matrices are verified against official seat allotment circulars published prior to choice-filling in each round. Category reservations strictly adhere to statutory quotas: Central AIQ applies 27% OBC-NCL, 10% EWS, 15% SC, 7.5% ST, and 5% horizontal PwD. State quotas follow individual State Legislative Acts (e.g., 69% in Tamil Nadu, 50% in Karnataka).
Tuition Fees & Rural Service Bond Data
College tuition fees are sourced from official State Fee Regulatory Committee gazettes and institutional prospectuses. Rural service bond durations (e.g. 1 year in Maharashtra, 2 years in Rajasthan/UP, 5 years in Assam) and penalty clauses (ranging from ₹5 Lakh to ₹30 Lakh) are cross-referenced directly from state health department orders.
Update Cadence & Timeliness
During active counselling periods (July through November), data ingestion operates continuously. When MCC or a state authority issues a revised round result or seat addition, our editorial team extracts the raw PDF, parses candidate closing ranks, verifies reference numbers, and updates the platform database within hours.
Historical Trend Normalization & Predictive Model
Because NEET UG paper difficulty, number of test-takers, and qualifying marks vary from year to year, absolute score-to-college comparisons are inherently misleading. MedAdmission normalizes historical data using All India Rank (AIR) percentiles, verified round-wise closing boundaries, and statutory seat matrices rather than raw marks alone.
Mathematical Prediction Engine Architecture
1. Continuous Logistic Probability: Rather than arbitrary heuristic tiers, our engine calculates admission likelihood using a calibrated sigmoid function:P(Allotment) = 1 / (1 + exp(k * (UserRank / ClosingRank - 1)))where k = 8.5 governs the sensitivity gradient around historic closing cutoffs. Tiers are defined mathematically as: Safe (≥85%), Target (50–84%), Dream (20–49%), and Unlikely (<20%).
2. Uncertainty Intervals: Each prediction includes a calibrated 95% confidence interval [P_low, P_high] reflecting historic volatility and seat elasticity across counselling rounds.
3. Dual-Category Evaluation: For reserved candidates (OBC, EWS, SC, ST, PwD), the engine evaluates both the reserved category quota and Open (UR) merit simultaneously, selecting the pathway that optimizes candidate admission probability while conserving reserved category rights wherever eligible.
4. Strict Statutory Domicile Isolation: State 85% Domicile quotas are strictly confined to matching legal home states, ensuring candidates never receive misleading predictions for closed state quotas.
Use as an Academic Advisory Aid
While MedAdmission maintains rigorous cross-verification protocols, admission cutoffs can fluctuate each year based on newly approved colleges, seat surrenders, and candidate choice preferences. Candidates should treat historical cutoffs as strategic indicators and verify real-time seat vacancies on official counselling portals (mcc.nic.in and respective state examination websites) during choice locking.
Explore Our Medical Admission Platforms
Multi-round allotment chance evaluation based on normalized cutoff data.
700+ NMC-approved institutions with verified fees, beds, & service bonds.
Search round-wise closing ranks across AIQ, State Domicile, & Deemed quotas.
Real-time seat intake and category reservation quotas across India.