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Amarachi-flora/african-financial-risk-dashboard

Domain:

socioeconomic

Record type:

softwareproject
Creator:
Ama
Host:
African Financial Risk Dashboard - Dataverse Africa Internship Project ML analysis of 5,200+ customer records for risk prediction & segmentation. Features real-time predictions, 5 customer segments, interactive Streamlit dashboard, and FastAPI backend. # 🌍 African Financial Customer Intelligence Platform ### Customer Financial Risk Prediction & Sentiment Analysis System **Domain:** African Financial Markets Analytics **Program:** DataVerse Africa Internship Cohort 3.0 — Data Analytics Track **Duration:** 12 Weeks (Training + Project-Based) **Team:** Amarachi Florence, Thato Maelane, Philip Odiachi, Mavis --- ## Project Overview The **African Financial Customer Intelligence Platform** is an end-to-end analytics solution developed to help financial institutions in Africa better understand customer behavior, assess financial risk, and derive insights that drive real operational improvements. The platform combines machine learning, sentiment analysis, interactive web analytics, and executive reporting into one unified analytics ecosystem. The system was validated using **5,200+ real customer records**, while also being engineered with adaptive intelligence that allows users to upload **any financial dataset** and automatically generate structured analytics and business-ready insights. --- ## 🌐 Live Platforms & Resources **Streamlit Interactive App (Flexible Analytics):** african-financial-risk-dash… **Power BI Executive Dashboard Suite (Production Insights):** bit.ly **Project Report (Presentation):** docs.google.com 🌐 **DataVerse Africa – Internship & Community:** dataverseafrica.org --- ## Core Capabilities * Automated customer segmentation using clustering algorithms * Predictive financial risk scoring * Sentiment analysis on customer feedback using NLP * Digital channel adoption insights * Interactive visual analytics dashboards * Downloadable analytical outputs * Business recommendations directly tied to insights --- ## How to Run Locally ```bash pip install -r requirements.txt python -m streamlit run streamlit_app.py ``` --- # 📊 Power BI Executive Dashboard Suite Below are …

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