At NeocambrianAI, I support AI and robotics laboratory activities through structured execution and documentation.
During my Robotics Engineering Intern role at National RemoteSensingCentre(NRSC),ISRO, I studied the KRITI robotics system and documented its design and features. I also contributed to system upgrades and software enhancements focused on performance, reliability, and autonomous functionality.
For PRANVAYU, I built a real-time AQI forecasting system with Python and Scikit-learn, reporting 92% model accuracy. I also integrated an LLM chatbot for eco-tips and rerouting.
My projects include E-NOSE, a multi-gas engine diagnostics system using MQ-series and NDIR sensors, and AROGYAM, a multilingual healthcare portal with machine-learning models for early disease prediction. I placed third at EnergyHackathon2025, IITDelhi, and was first runner-up at Hackathon2025, GGSIPU.
