The Banodoctor College Predictor is a web-based platform developed using Python and Django, designed to help NEET aspirants predict the medical colleges they can get into based on their NEET rank and category. This tool provides valuable insights into college possibilities for both UG (Undergraduate) and PG (Postgraduate) programs by analyzing previous NEET counseling data.
Key Features:
NEET Rank Input: Students can input their NEET exam rank, NEET score, and category to get an accurate prediction of the medical colleges they are likely to qualify for.
UG & PG College Predictions: The predictor provides predictions for both undergraduate and postgraduate courses, helping students plan their future accordingly.
Historical Data Analysis: The platform uses historical data from previous NEET counseling sessions to match the student's rank with colleges that accepted similar ranks in the past year. This feature helps students get a better understanding of the trends and possibilities.
Category-Based Prediction: The tool considers different reservation categories, such as General, OBC, SC, and ST, to provide more accurate results tailored to the student's category.
User-Friendly Interface: The website is built with a simple and intuitive interface, making it easy for students to enter their details and receive accurate college predictions within seconds.
Technologies Used:
- Python and Django: Backend development for smooth data processing and dynamic functionality.
- MySQL: Database management to store NEET data and college prediction results.
- HTML, CSS, and JavaScript: Frontend technologies for building a responsive and user-friendly interface.
The Banodoctor College Predictor empowers NEET aspirants to make informed decisions about their education, helping them understand their options and plan accordingly based on previous trends. Whether you're preparing for your NEET UG or NEET PG, this tool is designed to guide you on your journey towards the right college.
