AI-powered SaaS platform for detecting, predicting and prioritizing technical debt in GitHub repositories.
This project is an AI-powered Software as a Service platform designed to help small scale agile software teams identify, understand, and prioritize technical debt in their source code repositories. The system integrates with GitHub to analyze repository data, software metrics, source code comments, and development history. It combines static analysis with Machine Learning to detect Self Admitted Technical Debt (SATD), predict bug-prone files, calculate repository health and technical-debt indicators, and generate prioritized refactoring recommendations. Through an interactive dashboard, development teams can quickly identify high risk code areas and make informed decisions about where limited maintenance and refactoring resources should be focused. The system aims to provide a lightweight and actionable alternative to complex enterprise level code quality platforms for smaller software teams.
AI-powered inventory and freshness monitoring system for small-scale retailers.
AI-powered multi-agent tourism assistant for personalized trip planning and travel recommendations.
