RAG chatbot that lets you upload PDFs and ask questions about them. Built with FastAPI, LangChain, Chroma DB, and React. Uses vector search to find relevant passages and answers questions based on document content. Works in demo mode without an API key. Live mode with OpenAI available by setting an environment variable.
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Professional stock analysis system with technical indicators (RSI, MACD) and machine learning predictions. Built with Python following Clean Architecture. Analyzes historical price data, generates buy/sell signals based on quantitative strategies, and visualizes results in interactive dashboards. Includes Random Forest ML model for price trend prediction.
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Cross-platform personal finance app built for iOS, Android, and web. Features expense tracking, budget management, financial goal setting, recurring payment reminders, and progress visualization. AI-powered categorization and spending insights. Built with React (web), Kotlin (Android), Swift (iOS), and Python/FastAPI backend.
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Enterprise management system built for the oil & gas sector. Features client management, tariff/pricing configuration, service order tracking, and operational reporting. Full-stack architecture with Python REST API backend and React frontend with role-based dashboard. Deployed with Docker and PostgreSQL.
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Algorithmic trading bot with real-time web dashboard for BTC/USDT. Implements SMA crossover strategy (Golden Cross / Death Cross) with ML predictions using Random Forest and Gradient Boosting. Built with Python, Streamlit, Plotly, scikit-learn, and Binance API. Features candlestick charts, buy/sell signals, historical logging, and configurable trading pairs.