NEET-PG 2024 Allotment Lists
Budget / Salary₹2,000–5,000
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a clean, ready-to-use dataset of every NEET-PG seat allotment made in 2024 and 2025. That means every counselling authority—MCC (All-India 50 %), AIIMS, JIPMER, plus each individual state quota—across every single round, right down to the final stray-vacancy lists.
Folder structure
• One master folder named “NEET-PG Allotment”.
• Inside it, a separate folder for each state or central quota.
• Within every state folder, sub-folders labelled R1, R2, R3 / Mop-up, and Stray Vacancy (or the exact round names the authority uses). The XLS/XLSX or CSV files for that round live in the matching sub-folder.
Sources must be the official PDFs or web releases; convert them accurately so all text is searchable and sortable. Keep column headers uniform across every file so I can merge data later without cleanup.
Delivery & acceptance
• A single compressed archive (.zip or .7z) containing the exact folder layout above.
• Spot-checked against the original notices for accuracy—no missing rows, no typos in college names.
• File names and sheet tabs clearly match their round (e.g., “Gujarat_R2.xlsx”).
If you already compile similar medical-counselling datasets, let me know; speed matters, but accuracy matters more.
Folder structure
• One master folder named “NEET-PG Allotment”.
• Inside it, a separate folder for each state or central quota.
• Within every state folder, sub-folders labelled R1, R2, R3 / Mop-up, and Stray Vacancy (or the exact round names the authority uses). The XLS/XLSX or CSV files for that round live in the matching sub-folder.
Sources must be the official PDFs or web releases; convert them accurately so all text is searchable and sortable. Keep column headers uniform across every file so I can merge data later without cleanup.
Delivery & acceptance
• A single compressed archive (.zip or .7z) containing the exact folder layout above.
• Spot-checked against the original notices for accuracy—no missing rows, no typos in college names.
• File names and sheet tabs clearly match their round (e.g., “Gujarat_R2.xlsx”).
If you already compile similar medical-counselling datasets, let me know; speed matters, but accuracy matters more.
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