Smart V2X Emergency Response
Edge-Based Traffic Protocol
Edge-powered V2X system reducing emergency response time by 25% through predictive routing and real-time traffic signal control. Uses Edge Computing and IoT.
I am an enthusiastic B.Tech CSE student with robust skills in Python, AI/ML, and web development. My experience includes building innovative applications like health chatbots and travel planners, emphasizing clean UI/UX and problem-solving. As an active hackathon participant, l've achieved multiple top finishes, demonstrating my capacity to produce useful, real-world solutions
Edge-Based Traffic Protocol
Edge-powered V2X system reducing emergency response time by 25% through predictive routing and real-time traffic signal control. Uses Edge Computing and IoT.
Nutrition & Fitness App
AI-powered nutrition app achieving 85% accuracy in dietary recommendations using OpenFoodFacts API. Reduced meal planning time by 60%.
Healthcare Innovation
Symptom-based disease prediction system using ML models achieving 80% diagnostic accuracy. Includes an intuitive UI/UX flow for patients.
Gamified Habit Tracker
Habit tracking system with gamification elements (Pac-Man style) increasing user retention by 70%. Integrated with Google Calendar.
IIIT Sri City - Built a deep learning model achieving 80% accuracy in plant disease identification within 24 hours.
Amrita Vishwa Vidyapeetham - Developed ArogyaDeskAI for symptom-based disease prediction.
Tech Community - Showcased innovative solutions and problem-solving under time constraints.
Worked on solving real-world government challenges with smart traffic solutions.
Amrita Vishwa Vidyapeetham, Coimbatore
Aug 2023 - Present
National Academy of Cyber Security
Jun 2023 - May 2024
National Academy of Cyber Security
Sep 2023 - Feb 2024