Tejas
Patil

Developed a web-based Attendance Management System to simplify and automate student attendance tracking. The system allows administrators and faculty members to manage student records, mark attendance, view attendance reports, and monitor attendance percentages efficiently. It provides a user-friendly interface, secure data management, and reduces manual paperwork. The project was built using programming and database concepts to ensure accurate record keeping and easy access to attendance information.

Developed a Machine Learning–based Crop Yield Prediction system that estimates crop production using agricultural and environmental factors such as rainfall, temperature, soil conditions, and historical crop data. The project helps farmers and agricultural planners make informed decisions by providing data-driven yield predictions. The system analyzes input parameters, applies predictive models, and generates accurate crop yield estimates to support efficient farming practices.

Developed a responsive web application that provides the latest official MHT-CET notifications and announcements in one place. The platform automatically fetches updates from official sources, allowing students to stay informed with real-time notices. It includes search functionality, category-wise filtering, auto-refresh, and a clean, user-friendly interface for quick access to important information. The project was built using modern frontend technologies to deliver a fast and responsive experience.