
Dedicated and result-oriented B.E. Artificial Intelligence & Data Science student with a keen interest in research, problem-solving, and applying analytical thinking to real-world challenges.
Artificial Intelligence, Machine Learning, Computer Vision, IoT, Embedded Systems, Python, TensorFlow, Keras, OpenCV, Pygame.
Developed an AI-powered, gamified pet companion using Python, CNN (MobileNet), and IoT (Raspberry Pi) with real-time computer vision, emotion recognition, and interactive responses for remote pet monitoring
Python, AI/ML, Data Analysis, Outlier Detection, Pandas, NumPy, Data Visualization.
Developed an AI-based fraud detection system using outlier detection models, performed data analysis, model training, and evaluation to identify suspicious credit card transactions.