I built CHRONOS.WMS, an AI-powered video frame interpolation platform that turns low-frame-rate videos into high-FPS outputs with real-time visualization and performance analytics. It processed 100+ videos and achieved an average 92.4% SSIM and 31.8 dB PSNR.
For CHRONOS.WMS, I assembled a full-stack solution using React.js, Django REST Framework, PyTorch, OpenCV, Celery, and Redis, with PostgreSQL supporting the platform.
I also conceived KISSANMITRA, an AI-powered agricultural platform offering crop disease prediction, weather forecasting, market intelligence, and multilingual assistance. It achieved 94.6% crop disease prediction accuracy, supported eight regional languages, and processed 900+ multilingual farmer queries.
During my computer networks internship at LPU, I implemented virtual enterprise network environments and validated 15+ scenarios, achieving successful end-to-end packet transmission. I’m pursuing a Bachelor of Technology in Computer Science and Engineering at Lovely Professional University.
