Explore Our AI & Machine Learning Projects
Welcome to our AI and Machine Learning Projects hub, where innovation meets real-world impact. Our team of expert engineers, data scientists, and researchers builds cutting-edge solutions powered by artificial intelligence, deep learning, and data-driven technologies. From computer vision and natural language processing to predictive analytics and neural networks, each project demonstrates our commitment to solving complex challenges through advanced machine learning techniques. Discover how we turn data into intelligent systems that drive business transformation and technical excellence.
Real-Time Financial News Summarizer
Our Real-Time Financial News Summarizer leverages cutting-edge AI and NLP technologies to deliver instant, accurate summaries of financial news across stocks, crypto, and global markets. Powered by LLaMA language models, transformer-based NLP, and real-time data processing via Apache Kafka, the system efficiently gathers and condenses updates from web scraping and major financial APIs. Designed for investors, analysts, and traders, it provides actionable insights through a user-friendly React.js interface—boosting decision-making speed, reducing information overload, and enabling smarter financial strategies. Read more
Board Game Helper – AI-Powered Companion for Smarter Gameplay
Board Game Helper is an intelligent assistant designed to enhance the experience of board game enthusiasts by digitizing gameplay with computer vision and AI.
This system helps players scan, track, and manage cards and moves in real time using camera input—enabling smoother, rule-accurate play.
Built with custom datasets, semantic segmentation, and Siamese neural networks, the platform also lays the foundation for digital gameplay through apps or desktop systems.
Whether for solo play or group sessions, Board Game Helper brings smart automation and gameplay insights to the tabletop world. Read more
AI-Powered CAPTCHA Breaker – Testing CAPTCHA Security with Computer Vision
This project explores the use of artificial intelligence to analyze and break common CAPTCHA systems, assessing their resistance to automated attacks. By leveraging computer vision models, Siamese networks, and logic-based decision algorithms, the system identifies visual patterns and simulates human-like responses to bypass CAPTCHA challenges. The goal is to evaluate CAPTCHA robustness and help developers build more secure, AI-resistant verification mechanisms. Read more