Expera-Akakpo/DERPIn-Data-Challenge-2025

Interactive dashboard for Benin’s vulnerability analysis using FS-COR & AGWAA data (climate, nutrition, health). Built with Python (Streamlit, Plotly, Pandas), it features: multi-page navigation, Early Warning System for alerts, heatmaps, charts, maps, metrics table, report generator. Aids policymakers in anticipating shocks & building resilience. # Community-Vulnerability-Analysis-Dashboard-for-Benin---DERPIn-Data-Challenge-2025 This repository contains an interactive dashboard developed for the DERPIn Data Challenge 2025, Track 2: Community Vulnerability Analysis & Early Warning Systems. The dashboard analyzes vulnerability in Benin using data from FS-COR and AGWAA platforms, focusing on climate exposure, nutrition, and health indicators. Built with Python (Streamlit, Plotly, Pandas), it features: Multi-page Navigation: Explore correlations, vulnerabilities, climate trends, interactive maps, and reports. Early Warning System: Real-time alerts for temperature and rainfall anomalies to anticipate shocks. Dynamic Visualizations: Heatmaps, bar charts, scatter plots, box plots, and enlarged maps (e.g., vulnerability and rainfall anomaly maps). Interactive Tools: A metrics table and a downloadable report generator for decision-makers. Policy Insights: Clear interpretations to guide targeted interventions and resilience building. The dashboard helps policymakers, and community planners in Benin prepare for climate challenges and strengthen agrifood systems. Check the app.py file to run the project on google colab, and view the documentation.pdf for detailed methodology and results. Future enhancements could include real-time API integration and mobile optimization. Drive link : drive.google.com Demo link : drive.google.com