About
Computer Science undergraduate at Jamia Hamdard with hands-on project experience in Python, machine learning, computer vision, and API integration. Strong foundation in data structures, problem solving, and modern AI/ML tools and libraries.
Education
- 2026
Skills
Tools / apps / platforms
Projects
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Sign Language Recognition SystemPython, OpenCV, PyTorch, MediaPipe
Developed a real-time computer vision processing pipeline utilizing MediaPipe for precise hand landmark extraction and spatial coordinate tracking. Designed data preprocessing scripts with OpenCV and NumPy to format keypoint arrays, optimizing inputs for model consumption. Trained a PyTorch classification model to map distinct hand gestures to structured outputs, focusing on clean code architecture and modular design.
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Voice-Controlled Personal AssistantPython, REST APIs, JSON, SpeechRecognition
Engineered an automated desktop assistant parsing natural-language voice input via the SpeechRecognition library and pyttsx3 engine. Integrated external RESTful APIs (News API) with custom exception-handling and JSON parsing logic to safely fetch and present real-time data. Streamlined system workflows by implementing modular automation scripts using Python OS and browser modules with robust error handling.