Find the Perfect Blinkit Location is a web-based project that helps identify the best possible location for opening a new Blinkit dark store or delivery hub. The website uses location-based analysis and user-friendly visualization to support better store placement decisions.

An interactive and intelligent Streamlit-based data analysis tool powered by Google's Gemini AI via LangChain. Upload your datasets, get instant statistics, visualizations, and ask natural language questions about your data — all in one app.

Analyzed electric vehicle data to explore patterns in price, range, energy consumption, and battery capacity. Used Python, Pandas, NumPy, and Matplotlib for data preprocessing, visualization, and insights. Identified top EVs based on user-defined range and budget filters.

The program is written in Octave (open source varient of Matlab), however, it is also compatible with MatLab with slight modifications.