Result Analysis | Project Lead
• Led and executed a comprehensive result analysis system leveraging Python, Fitz, MySQL, HTML, and PHP to automate data extraction, interpretation, and reporting.
• Developed an efficient PDF parsing tool to extract subject-wise student results, categorize performances, and generate analytical reports in Excel format.
• Designed and implemented a database schema for structured storage of extracted student results, ensuring data integrity and easy retrieval.
• Automated the re-evaluation update process, streamlining result modifications post-review.
Speech-to-Text Model | Full Stack Developer
• Engineered a Machine Learning-based Speech-to-Text model using React and Python, allowing real-time voice transcription.
• Integrated text translation and download features, enabling multilingual accessibility.
• Focused on performance optimization and UI/UX design for a seamless user experience.
Notes App | Android Developer
• Designed and developed a feature-rich Notes App using Android Studio, with a clean and intuitive UI/UX.
• Implemented CRUD (Create, Read, Update, Delete) functionalities, allowing users to efficiently manage their notes.
• Integrated SQLite database for persistent storage, ensuring user data is saved securely.
• Enhanced user experience with features like dark mode, search functionality, and note categorization.
Body Fat Prediction | Data Scientist
• Developed a Multiple Linear Regression model using Python (PyQt5, pandas, scikit-learn) to accurately predict body fat percentage based on multiple physiological parameters.
• Managed the entire project lifecycle, from data collection to model validation and performance tuning.
Live Body Detection | Machine Learning Engineer
• Built a real-time body detection system using Machine Learning, enabling motion-based surveillance.
• Implemented computer vision techniques to enhance detection accuracy in diverse environments.