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them through a pipeline with **Pinecone vector storage** and **machine learning models**, and delivers real-time analytics via a modern web dashboard.\n\n---\n\n## 🚀 Features\n- 🌍 **Global Data Sources** – Automated pipelines from Eurostat, World Bank, and UN Data.  \n- 🧠 **AI \u0026 ML Integration** – Predictive modeling, anomaly detection, and trend forecasting.  \n- 📦 **Vector Database (Pinecone)** – Fast semantic search and similarity-based queries.  \n- 📈 **Interactive Visualizations** – Built with React + charting libraries (Chart.js, Recharts).  \n- ⚡ **Optimized Backend** – FastAPI + caching for rapid response and smooth user experience.  \n- 📊 **Custom Dashboards** – Compare regions, sectors, or indicators in real time.  \n\n---\n\n## 🛠️ Tech Stack\n- **Frontend:** React, Next.js, Chart.js / Recharts, Tailwind CSS  \n- **Backend:** Python, FastAPI, Node.js  \n- **Data Sources:** Eurostat, World Bank, UN Data  \n- **Database:** Pinecone (vector DB), PostgreSQL  \n- **Machine Learning:** scikit-learn, TensorFlow (predictive analytics \u0026 anomaly detection)  \n- **Infrastructure:** Docker, GCP/AWS\n\n## Video Demo\n| 📊 AI powered data visualization tool |\n|----------------------------------------------|\n| ![data_visualization](assets/datavisualization.gif)   |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleosolar8%2Fdatahaven-client","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleosolar8%2Fdatahaven-client","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleosolar8%2Fdatahaven-client/lists"}