This project focuses on providing a comprehensive and user-friendly platform for analyzing and visualizing data from the Joint Seat Allocation Authority (JoSAA) website. By leveraging web scraping techniques, data is extracted and stored in a MongoDB Atlas server. The platform offers various features, including trend analysis of opening and closing ranks, filtering options based on criteria such as category, gender, and college, as well as branch availability predictions based on rank and preferences. With intuitive visualizations and powerful search functionalities, the project aims to assist students in making informed decisions regarding their higher education admissions in IITs.
The project aims to create a comprehensive platform for analyzing and visualizing data related to higher education admissions in Indian Institutes of Technology (IITs) using data obtained from the Joint Seat Allocation Authority (JoSAA) website. By leveraging web scraping techniques, relevant data is extracted and stored in a MongoDB Atlas server for efficient retrieval and analysis.
The platform offers various features to facilitate informed decision-making for students seeking admission to IITs. These features include trend analysis of opening and closing ranks for different academic programs, filtering options based on categories such as gender, category, and college, as well as branch availability predictions based on a student's rank and preferences.
To provide a seamless user experience, the project includes an intuitive web interface with interactive charts and user-friendly navigation. The visualizations and data analysis empower students to explore historical trends, identify potential admission options, and make informed decisions about their educational journey in IITs.
By centralizing and presenting essential information in a user-friendly manner, the project aims to simplify the process of accessing and interpreting admission-related data, ultimately helping students navigate the complex landscape of higher education admissions in IITs.
Overall, this project strives to provide students with a valuable resource to support their decision-making process and enhance their chances of securing admissions to their desired academic programs in IITs.
- OR-CR Trend Analysis
- Rank wise College Suggestion
- Interest wise (preffered branch) College Suggestion
