Implementation of Genetic Algorithm, Memetic Algorithm and Constraint Satisfaction on a Time Table scheduling problem. Also has an implementation of MiniMax Strategy for TicTacToe
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Updated
Feb 27, 2019 - Python
Implementation of Genetic Algorithm, Memetic Algorithm and Constraint Satisfaction on a Time Table scheduling problem. Also has an implementation of MiniMax Strategy for TicTacToe
Windows-only local AI desktop assistant with OCR-first screen understanding, multimodal fallback, offline voice I/O, and llama.cpp-powered reasoning.
AMEVA-Edge-Agent는 인터넷 연결 없이 기기 자체에서 음성을 처리하는 안드로이드 및 터묵스(Termux) 기반의 자율형 모바일 에지 프레임워크입니다.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An end-to-end Python project that tracks 2 major cryptocurrencies in real time using APIs, applies Moving Average & ML models on over 1,000 weekly price data points, and generates Buy/Sell recommendations with 85% accuracy. Built in 5-day sprint cycles, it showcases data preprocessing, trend analysis, and automation for faster decision-making.
AI-powered M&A Due Diligence Memo Generator with mandatory source citations, PDF extraction, and DOCX export. (Architectural showcase for Pydantic/Streamlit/LLM integration).
Sanitized M&A target-screening data-quality workflow with validation, standardization, duplicate detection, and exception reporting.
AI-powered pathfinding visualization system using A*, BFS, and Dijkstra algorithms with an interactive PyQt GUI, real-time simulation, and modern dark UI.
A lightweight Windows launcher for AMEVA-ViewPort, designed to simplify the setup and startup of a local WebRTC-based screen sharing and control system for project sharing, remote collaboration, and LLM/VLM-assisted screen understanding workflows.
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