tommaso-dognini/startHack2025

Data-driven analysis and visualization of climate trends, land use change, and population dynamics in Burkina Faso’s Sahel region. Developed during the startHack2025 competition, this project includes geospatial mapping, interactive dashboards, and machine learning tools to support sustainable development and policy-making. Sahel Region Analysis Overview -------- The Sahel Region Analysis project provides data-driven insights into climate trends, land use changes, and population dynamics in Burkina Faso. By leveraging historical climate data, geospatial mapping, and machine learning techniques, this analysis serves as a decision-support tool for policymakers and stakeholders. The project aims to facilitate the development of sustainable strategies for water resource management, agricultural planning, and urban development in a region facing significant climate challenges. Features -------- - Rainfall Analysis: Visualizes daily rainfall trends, highlights extreme rainfall events, and incorporates regression lines to understand trends in high and low rainfall days. - Seasonal Analysis: Provides an in-depth look at seasonal variations, including monthly breakdowns of rainfall extremes, enabling a clearer understanding of intra-seasonal variability. - Geographical Distribution: Offers geospatial insights into rainfall patterns across different regions of Burkina Faso. - Land Use Analysis: Explores changes in land use indicators such as agricultural land, forest area, and arable land, and correlates these with annual rainfall data. - Interactive Navigation: A multi-page Streamlit app with navigation buttons for seamless exploration of different analyses. Web App Link ----------------- Web App Link Technologies Used ----------------- - Python: Core programming language for data analysis and visualization. - Streamlit: Framework for building interactive web applications. - Pandas & NumPy: Data manipulation and numerical computing. - Matplotlib & Seaborn: Data visualization and plotting. - Geopandas & Folium: Geospatial data processing and mapping. Getting Started --------------- 1. Clone the Repository: git clone github.com ```cd sahel-region-analysis``` 2. Install Dependencies: Ensure you have Python 3.7 or later installed, then run: ```p …