Autonomous Drone System
Built an autonomous drone using Pixhawk and Raspberry Pi; implemented GPS-free navigation logic; integrated IMU sensors for stability and control; focused on real-time decision-making and system accuracy.
Student
B.Tech CSE | AI & ML
Jawaharlal Nehru University (JNU)
2026 – Present
Developed responsive web interfaces using HTML, CSS, and JavaScript; designed clean UI layouts; integrated frontend components with backend APIs; optimized performance and cross-browser compatibility; collaborated with team members to deliver scalable web solutions.
Drone Project / Competition
Integrated Pixhawk and Raspberry Pi hardware for an autonomous drone system; developed navigation and stabilization control logic; implemented real-time communication between sensors and the flight controller; assembled and configured components; tested and optimized system reliability.
HackPulse Hackathon
2024 – 2025
Designed and developed a responsive frontend for a disaster management system; built interactive UI with HTML, CSS, and JavaScript; integrated APIs for real-time alerts and data visualization; improved user experience through clean, structured design.
University Hackathon (MongoDB)
2024 – 2025
Developed the frontend of a web application using HTML, CSS, and JavaScript; designed intuitive UI; collaborated with the backend team for API integration; ensured responsive design and smooth user experience.
Bachelor of Technology (B.Tech), Computer Science and Engineering (Artificial Intelligence & Machine Learning)
2024 – Present
Currently in 2nd year, 4th semester
Built an autonomous drone using Pixhawk and Raspberry Pi; implemented GPS-free navigation logic; integrated IMU sensors for stability and control; focused on real-time decision-making and system accuracy.
Developed a web-based emergency response platform with real-time alerts and nearby help tracking; built the frontend using HTML, CSS, and JavaScript; improved response efficiency through optimized UI.
Designed a system for waste monitoring and management with real-time waste-level tracking; developed a solution to optimize waste collection and improve urban cleanliness and efficiency.