This project is a Real-Time Vehicle and Pedestrian Detection System that uses the YOLOv9 model to detect objects, estimate distances, and issue alerts. It enhances driving safety by providing real-time feedback through a user-friendly interface and robust backend processing.
Engineering control plane for AI-assisted software development — orchestrate AI workers, understand repositories, enforce guardrails, evaluate changes, independently verify engineering work, and produce evidence.
AI-powered repository intelligence using LangGraph, Gemini, and deterministic code analysis.
Evidence based dependency upgrade and licence policy verifier for Python projects
Streamlit App to Tracking Athlete Performance in UNNES & last project in my course
Python-based data quality automation toolkit for validating, cleaning, and reporting CSV datasets with modular architecture, logging, and CLI support.
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