AI / ML Integration

## Intelligence as a Feature AI and ML don't have to be black boxes. I help you add intelligent, data-driven features to your product in a way that's practical, explainable, and built to last. ### What I Build - **Recommendation systems** — personalised content, product, or event suggestions - **No-code ML platforms** — upload data, train models, get predictions (see: EasyML) - **Data analysis dashboards** — real-time insights from structured data - **AI-powered analytics** — stock analysis, trend detection, anomaly alerts - **Automation pipelines** — intelligent data processing and classification ### Real Projects - **EasyML** — a complete no-code machine learning platform where non-technical users upload datasets, receive model recommendations, run predictions, and download trained models. Built with Python, Streamlit, and Scikit-learn. - **AI Stock Market Analyzer** — an AI-powered stock analysis tool in active development, combining real-time market data with ML-based prediction models. ### Technology - **Python** — primary language for data science and ML - **Scikit-learn** — supervised and unsupervised learning - **Flask / FastAPI** — lightweight Python APIs to serve ML models - **Pandas / NumPy** — data wrangling and preprocessing - **Streamlit** — rapid, interactive data apps ## Ideal For - Startups wanting to add smart features without a data science team - Products with datasets that could drive recommendations or insights - Teams wanting to automate classification, sorting, or pattern detection