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Interactive AI-Powered Tool for Strategic Dark Store Placement**  \n\n[![Python](https://img.shields.io/badge/Python-3.9%2B-blue?logo=python)](https://www.python.org/)\n[![Streamlit](https://img.shields.io/badge/Built%20With-Streamlit-orange?logo=streamlit)](https://streamlit.io/)\n[![MIT License](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)\n[![Open Source](https://img.shields.io/badge/Open--Source-Contributions%20Welcome-brightgreen.svg)](https://github.com/atharvbyadav/Dark-Store-Feasibility-Analysis)\n[![Project Status](https://img.shields.io/badge/Status-Hackathon%20Prototype-blueviolet)](https://github.com/atharvbyadav)\n\n[![Made with Love](https://img.shields.io/badge/Made%20with-%F0%9F%96%A4-red)](https://github.com/atharvbyadav)\n[![Deployed with Streamlit](https://img.shields.io/badge/Deployed-Streamlit%20Cloud-ff4b4b?logo=streamlit)](https://dark-store.streamlit.app/)\n[![Last Commit](https://img.shields.io/github/last-commit/atharvbyadav/Dark-Store-Feasibility-Analysis?color=blue)](https://github.com/atharvbyadav/Dark-Store-Feasibility-Analysis/commits/main)\n\n---\n\n## 🚀 Live Demo  \n🔗 **Try it out now**: [dark-store.streamlit.app](https://dark-store.streamlit.app/)\n\n🔗 **GitHub Repository**: [Dark Store Feasibility Analysis](https://github.com/atharvbyadav/Dark-Store-Feasibility-Analysis)\n\n---\n\n## 🚀 **Project Overview**  \nDark Stores are **closed fulfillment centers** designed exclusively for **online orders**, enabling faster deliveries and efficient inventory management. **Where should these stores be located to maximize efficiency and revenue?**  \n\nThis project provides a **data-driven solution** to **analyze, predict and recommend optimal locations** for Dark Stores using **Machine Learning, Data Visualization and Interactive Maps**.  \n\n🔹 **Key Features:**  \n✅ **Predict Demand for Different Neighborhoods**  \n✅ **Recommend Top 6 Locations to Open Dark Stores**  \n✅ **Identify High-Demand Areas Needing Multiple Stores**  \n✅ **Visualize Trends with Interactive Graphs \u0026 Maps**  \n✅ **Machine Learning-Based Demand Forecasting**  \n\n---\n\n## 🏗️ **How It Works**  \n1️⃣ **Data Collection \u0026 Cleaning**  \n   - Raw data is processed in **Google Colab** notebooks (included in this repo).  \n   - The **cleaned, processed dataset** is used for predictions.  \n\n2️⃣ **Data Analysis \u0026 Visualization**  \n   - Population growth, order volume trends and demand spikes analyzed.  \n   - Graphs \u0026 charts provide insights into neighborhood potential.  \n\n3️⃣ **Machine Learning Model**  \n   - Uses **Linear Regression** to predict future demand.  \n   - Evaluated with **Mean Absolute Error (MAE) \u0026 RMSE** for accuracy.  \n\n4️⃣ **Streamlit Web App**  \n   - Users can **interact with data, view recommendations and explore maps**.  \n\n---\n\n## 🔥 **Tech Stack**  \n| **Component** | **Technology Used** |\n|--------------|------------------|\n| Programming | Python 🐍 |\n| Web Framework | Streamlit 🎈 |\n| Data Processing | Pandas, NumPy |\n| Machine Learning | Scikit-Learn 🤖 |\n| Visualization | Plotly, Matplotlib 📊 |\n| Mapping | Folium 🗺️ |\n| Data Cleaning | Google Colab 🚀 |\n\n---\n\n## 🖥️ **Installation \u0026 Setup**  \n\n### **🔹 Clone the Repository**  \n```bash\ngit clone https://github.com/atharvbyadav/Dark-Store-Feasibility-Analysis.git\n```\n\n### **🔹 Run the Streamlit App**  \n```bash\nstreamlit run MainScript.py\n```\n---\n\n## 📂 **Project Structure**  \nOnly for this repo. You can change data as per your need and upload your own Data Sets for Analysis.\n\n```\n📦 Dark-Store-Feasibility  \n│-- 📂 data  \n│   │-- 📂 processed\n│   │   │-- Merged_Pune_Dark_Store_Data.csv\n│   │   │-- Pune_Climate_Delivery_Impact.csv\n│   │   │-- Pune_Neighborhood_Population_Analysis.csv\n│   │   │-- Pune_Online_Activity_Prediction.csv\n│   │   │-- pune_dark_stores.csv\n│   │  \n│   │-- 📂 raw\n│   │   │-- Pune_Raw_Climate_Data.csv\n│   │   │-- Pune_Raw_Online_Activity_Data.csv\n│   │   │-- Pune_Raw_Population_Data.csv\n│   │   │-- pune-ward-wise-census-2011.csv  \n│  \n│-- 📂 notebooks  \n│   │-- Clean_Climate.ipynb  # Cleans climate data  \n│   │-- DataCleaner.ipynb  # Processes raw data  \n│  \n│-- 📂 app  \n│   │-- app.py  # Streamlit app  \n│   │-- model.py  # Machine Learning model  \n│  \n│-- LICENSE\n│-- MainScript.py\n│-- README.md\n│-- index.html  # GitHub Pages support  \n│-- requirements.txt\n```\n\n---\n\n## 🎯 **Key Features **  \n\n### **📊 Data Insights \u0026 Visualization**  \n- **Population \u0026 order volume trends per neighborhood**  \n- **Bar charts, scatter plots \u0026 interactive graphs**  \n\n### **🏆 Top 6 Neighborhood Recommendations**  \n- **Find the best locations for opening Dark Stores**  \n- **See order volume projections**  \n\n### **🚦 High-Demand Locations (Requiring 2 Stores)**  \n- **Identifies areas where 1 store isn't enough**  \n- **Helps optimize store placement**  \n\n### **📈 Machine Learning Demand Prediction**  \n- **Forecasts future demand trends**  \n- **Improves decision-making for dark store expansion**  \n\n### **🗺️ Interactive Dark Store Map**  \n- **View existing \u0026 recommended store locations**  \n- **Zoom in for neighborhood-level analysis**  \n\n---\n\n## 🔍 **Machine Learning Model**  \n📌 **Algorithm Used:** **Linear Regression**  \n📌 **Evaluation Metrics:**  \n   - **Mean Absolute Error (MAE)**: Measures prediction accuracy.  \n   - **Root Mean Squared Error (RMSE)**: Checks for large deviations.  \n\n---\n\n## 🔮 **Future Improvements**  \n💡 **Better ML Models**: Try **XGBoost, Random Forest** for higher accuracy.  \n🌍 **Live Data Feeds**: Integrate **real-time order tracking \u0026 traffic analysis**.  \n📊 **Competitor Heatmaps**: Identify areas with **less competition** for strategic placement.  \n\n---\n\n## 🤝 Contribution  \nContributions are welcome!  \nFeel free to fork this repo, suggest improvements or submit a pull request.\n\n---\n\n## 📜 **License**  \nThis project is licensed under the **MIT License** – feel free to use, modify and distribute it.  \nSee the [LICENSE](LICENSE) file for full details.\n\n---\n\n## ⭐ **Like This Project? Give It a Star!** ⭐  \nIf you found this useful, **consider giving it a star ⭐** on GitHub!  \n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatharvbyadav%2Fdark-store-feasibility-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fatharvbyadav%2Fdark-store-feasibility-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fatharvbyadav%2Fdark-store-feasibility-analysis/lists"}