MCA student and aspiring Full Stack Developer with experience in building scalable web applications using React.js, Next.js, Node.js, and MongoDB. Skilled in developing RESTful APIs, creating responsive user interfaces, and integrating frontend with backend systems. Enthusiastic about learning new technologies and contributing to efficient, user-friendly, and reliable web solutions.
Master of Computer Applications
CGPA: 8.17/10
Bachelor of Computer Applications
CGPA: 7.5/10
https://ambulance-booking-frontend-nine.vercel.app/
Built a MERN stack based ambulance dispatch platform for real-time emergency vehicle booking.
Implemented RESTful APIs using Node.js and Express.js to manage booking requests and ambulance data.
Used MongoDB for efficient storage of user requests, ambulance locations, and booking history.
Developed a React-based dashboard for managing emergency requests and ambulance allocation.
https://bio-medical-waste-system.onrender.com/
Developed a deep learning based system to classify biomedical waste into multiple categories for safer waste management.
Trained a computer vision model using a labeled biomedical waste dataset to automatically detect and classify waste images.
Implemented the model using Python and integrated it with a simple web interface for real-time prediction.
Improved waste segregation efficiency and reduced the risk of contamination through automated classification.