GreenAgritrade Hub (Agriculture Web Application)

PGI VirtualCare (Healthcare Web Application)

Developed a virtual healthcare management system with Spring Boot, MySQL, and Bootstrap. Features include patient, doctor, and admin dashboards for managing appointments, medical records, and consultations. Gained hands-on experience in full-stack development and secure authentication using Spring Security.

Music Player (Mini Project – Web Application)

Developed a Spotify-like mini music player using HTML, CSS, and JavaScript. Features include play/pause, next/previous track, and responsive UI for seamless music experience

IIMM Ayodhya College Website

Designed and developed the frontend of a responsive college website using HTML, CSS, and Bootstrap. Focused on modern UI design, smooth navigation, and mobile-friendly layout to enhance user experience

Facebook Login & Registration Page (Validation Project)

Recreated Facebook-style login and registration pages using HTML, CSS, and JavaScript. Identified a major validation issue (e.g., incorrect date validation in February) and implemented correct JavaScript validation logic. Additionally, enhanced the UI/UX by integrating a modal-based registration form for seamless same-page user experience.

Smart Street Light

This project is a Smart Light System designed to save energy. At night, if no motion is detected, all street lights remain OFF. When any person or vehicle passes, the lights automatically turn ON. In daytime, the lights remain OFF automatically. The system uses a PIR sensor to detect motion and an LDR sensor to differentiate between day and night.

Smart Security Home Automation (IoT Project)

Developed an IoT-based smart home security system using NodeMCU, PIR sensor, buzzer, and LED indicators. The system detects unauthorized motion or door opening and immediately triggers a buzzer alarm with red LED blinking. Integrated Wi-Fi communication to send instant alerts through a Telegram Bot, ensuring real-time notification and enhanced home safety.

WiFi Robot Car

Currently, this project works as a remote-controlled car using a Wi-Fi connection between a mobile device and the vehicle. In the future, we aim to develop it into a Robot Car powered by Machine Learning algorithms, capable of self-learning and performing tasks independently to help solve real-life human problems. Continuous improvements are planned to make it more intelligent and autonomous.