Gaurav Upadhyay

Achieved accuracies of 85%, 90%, and 95% in skin disease, symptom-based disease prediction, and heart disease identification Machine Learning models, respectively. Trained and Integrated Gemini Powered Health ChatBot, resulting in a 70% reduction in response time for health-related queries. Implemented an Epidemic Alert System, resulting in a 40% improvement in awareness of health-related events and epidemics among the general population using Google Maps API.

Launched dynamic social platform for anime fans, attracting 100+ users in the 1st month. Crafted API with 100ms response, managing 200+ daily authentication requests, with uptime of 99.9%. Deployed on Vercel with ¡ 3s load time, praised for user-friendly experience.

Developed AquaTrace, a pioneering water footprint tracking app. Using latest computer vision algorithms, achieved an accuracy rate of 80% in water consumption calculations. Utilized AI techniques, resulting in a 20% improvement in predictive capabilities, enabling precise water footprint assessments. Recognized for innovation, selected to participate in the prestigious Smart India hackathon, competing against 300+ teams nationwide.