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Lindiwe-22/SA-Bank-Trust-Score

Domain:

socioeconomic

Record type:

software
Creator:
Lin
Host:
Data-driven trust scoring system for South African banks — helping consumers make informed decisions based on complaints, regulatory sanctions, and fraud resolution # 🏦 SA Bank Trust Score — Consumer Protection Intelligence > A data-driven trust scoring system that helps South African consumers choose a bank based on verified evidence, not marketing. --- ## 🔗 Demo Link 👉 View Live Streamlit Dashboard --- ## 📋 Table of Contents - Business Understanding - Technologies - Setup - Approach - Status - Credits --- ## 💼 Business Understanding South African consumers are increasingly exposed to banking failures — unresolved complaints, regulatory violations, fraud, and poor service. Yet most consumers choose a bank based on advertising, not evidence. This project changes that. Using verified data from official regulatory bodies, this system builds a transparent **Trust Score** for each of South Africa's major retail banks — giving consumers, journalists, and researchers a data-driven basis for one of the most important financial decisions they will make. Banks are scored across four verified dimensions: | Dimension | What It Measures | |---|---| | 📋 **Complaint Resolution** | How quickly banks resolve complaints before Ombudsman escalation | | ⚖️ **Consumer Favour Rate** | % of formal cases decided in the consumer's favour | | 🔒 **Regulatory Record** | Total financial penalties from the SARB Prudential Authority | | 💬 **Consumer Sentiment** | Social media net sentiment + consumer satisfaction surveys | Each bank receives a final Trust Score out of 10: | Score | Rating | |---|---| | 🟢 **7–10** | High Trust — strong track record across all dimensions | | 🟡 **4–7** | Medium Trust — mixed performance | | 🔴 **0–4** | Low Trust — significant concerns across multiple dimensions | --- ## 🛠️ Technologies **Languages & Environment** **Data & Analysis** **Deployment** | Category | Tools | |---|---| | **Data & Analysis** | Python, Pandas, NumPy, Matplotlib, Seaborn | | **Notebook** | Jupyter | | **Dashboard** | Streamlit Cloud | --- ## ⚙️ Setup ```bash # Clone the repository git clone github.com …

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