Cracked Screen Detection with Machine Learning
Developed an AI-based system using HOG and k-NN to classify cracked screens with 85% accuracy, enhancing diagnostic precision in phone repairs.
Developed an AI-based system using HOG and k-NN to classify cracked screens with 85% accuracy, enhancing diagnostic precision in phone repairs.
An Autonomous robot designed to assist elderly and disabled individuals with daily tasks, featuring autonomous navigation, object retrieval, and social engagement.
Developed an AI system that dynamically adapts to user behavior using IoT sensors and reinforcement learning, achieving a 5% reduction in energy consumption.
Smart Goggles for Gaze Analysis
TrainMuscleFit is a comprehensive fitness and nutrition tracking web
Developed a self-balancing robot using Arduino and MPU6050 sensor, leveraging reinforcement learning to maintain balance.