Rohit Kothari

I'm building applied AI systems including MedAI, a full-stack lung disease prediction app that detects Normal, Pneumonia, and Tuberculosis from chest X-rays and uses Grad-CAM heatmaps for clinical transparency.

My projects span security and systems engineering: I built StegoShield, combining AES encryption and LSB steganography for secure image-based data embedding, and architected a distributed storage simulation using consistent hashing, B+ Trees, replication, and Dijkstra-based routing.

I'm currently developing NEXUS, a fraud intelligence platform for document forgery and deepfake detection, and SKINSENSE, a mobile AI skin-analysis app using custom deep learning models and explainable reports.

As a co-inventor, I've filed patents in India and South Africa for a solar-powered emergency EV charging kit and an IoT-enabled touchless smart dustbin. I also support technical community outreach as Public Relations Officer for VICSTA at VIT Pune.