Best Paper Award.

Developed an AI-driven health assistant using Gemini AI for personalized medical guidance with features for medical record management and emergency doctor discovery. Built medication reminders, voice interaction capabilities, and NFC-based emergency access to critical health data for rapid response scenarios. Competed against 1,000+ teams and secured 4th place for building a high-impact technical solution. 4th Place, OpenAI × NxtWave Buildathon (Jul 2024 - Nov 2024)

Proposed a privacy-preserving federated learning framework enabling decentralized exploration in autonomous drone swarms without centralized control. Designed a 3D voxel-based environment with room-like obstacles and implemented LiDAR sensor simulation using 3D spherical ray marching with 8m sensing range. Developed frontier-based exploration strategies and applied Federated Averaging (FedAvg) to aggregate drone models while preserving local data privacy. Built real-time 3D visualization tools to monitor drone trajectories, environment coverage, and swarm coordination. IEEE International Conference, Singapore (2025) - Best Paper Award (Sep 2024 - Nov 2024)

for research in privacy-preserving federated learning.

among 1,000+ participants.