EPL Football Match Predictor
Utilized machine learning algorithms to predict English Premier League match outcomes using team stats, schedule timing, and opponent features.
Achieved 91% precision and 81% accuracy through threshold tuning and feature engineering, improving decision quality.
Optimized precision and accuracy by adjusting the classification threshold, effectively reducing false positives.
AI Audio-to-Text Converter
Developed and deployed a Flask-based REST API that transcribes audio to text leveraging OpenAI's speech models, enabling high-accuracy, multilingual support for over 99 languages.
Meticulously crafted and designed a frontend pipeline for uninterrupted user interaction, supported by HTML and CSS.
Integrated JavaScript and asynchronous fetch requests to enable real-time file handling and smooth client-server interaction.
Online IDE Compiler
Deployed a fully functional Python (currently) Online IDE Compiler configured with Flask and JavaScript to handle real-time server-side code execution requests
Supporting instantaneous and prompt request handling for converting Python to readable outputs, providing 100% accuracy.
Crafted with a focus on modern UI/UX, balancing elegance and performance while delivering a seamless experience tailored for productivity, compatibility, and creative expression.
