nimmani rishik

I built CNN-based thermal fault detection and localization systems at IIT Ropar, achieving 94.2% detection accuracy for predictive maintenance in electrical panels.

I've developed AI solutions across maintenance, healthcare-adjacent imaging, and agriculture, including an ANN-based insulation degradation prediction system with 94% accuracy. My work combines Python, TensorFlow, Keras, OpenCV, Scikit-learn, and automated Google Sheets reporting workflows.

I also designed a Hybrid CNN for X-ray-based coconut quality classification, resulting in a published Indian patent.

Alongside my research work, I lead 80+ volunteers as a Committee Head for Aaruush at SRMIST, organizing technical events and workshops. I've presented research at IEEE conferences and bring a strong foundation in algorithms, data structures, databases, and scalable data-driven applications.