projects

The projects that I have orchestrated and developed through meticulous planning, seeking to emphasize real-world applicability rather than commonly exhausted ideas.

Project 1 — AI & Machine Learning

AI Speech-to-Text Converter

  • Architected a Flask REST API utilizing OpenAI’s Whisper models to deliver high-accuracy transcription across 99+ languages
  • Integrated JavaScript fetch and async handlers to enable real-time file processing and seamless client-server interaction
  • Designed a high-performance frontend pipeline for uninterrupted user sessions and optimized audio data handling
PythonFlaskJavaScriptHTMLCSSWhisper AIFFmpegMongoDB
Project 2 — Frontend

GitLearn | Git & GitHub Academy

  • Deployed a fully responsive educational platform focused on Git and GitHub fundamentals, with purpose-driven, curated learning modules
  • Engineered a scalable front end using HTML, CSS, and JavaScript to support high-traffic user requests
  • Crafted a modern, intuitive UI/UX to enhance site appeal and drive learner engagement and content growth
HTMLCSSJavaScriptGSAPFigma
Project 3 — Backend

Online IDE Compiler

  • Architected a real-time IDE using Flask and JavaScript, enabling seamless server-side execution of Python code
  • Optimized request handling to deliver instantaneous, 100% accurate code-to-output conversion
  • Engineered a modern, high-performance interface focused on developer productivity and low-latency interactions
PythonFlaskJavaScriptHTMLCSSGSAPDocker
Project 4 — Machine Learning & Reinforcement Learning

EPL Football Match Predictor

  • Engineered an ML pipeline to forecast EPL outcomes using team metrics and schedule dynamics
  • Achieved 91% precision and 81% accuracy through feature engineering and threshold optimization
  • Refined classification thresholds to minimize false positives and enhance model reliability
PythonJupyterscikit-learnpandasBeautifulSoup