selemanimaregesi-blip/Judicial-AI-Tanzania

AI-based judicial bottleneck diagnosis and explainable case outcome prediction for Tanzania using SEMDR-Lite and ADAPT. # Judicial Bottleneck Diagnosis and Explainable Case Outcome Prediction in Tanzania ## Framework Overview .png) *Figure 1: SEMDR-Lite + ADAPT framework for judicial bottleneck diagnosis and explainable case outcome prediction.* ## Project Overview This repository contains the implementation and supporting materials for my Master's thesis: **Judicial Bottleneck Diagnosis and Explainable Case Outcome Prediction in Tanzania Using SEMDR-Lite + ADAPT** The project applies Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Explainable AI (XAI) techniques to support judicial analytics, evidence-based policymaking, and justice sector modernization. --- ## Repository Contents - Thesis Abstract - AI Project Portfolio - Research Notebook - Key Visualizations - Sample Outputs - Supporting Documentation ## Framework Overview .png) *Figure 1: SEMDR-Lite + ADAPT framework for judicial bottleneck diagnosis and explainable case outcome prediction.* ## Model Performance ## Documentation and Work Samples - Thesis_Abstract - Project_Potfolio_for_selemani - Judicial_AI_Thesis - Figures - Sample Outputs ## Research Themes * Artificial Intelligence * Machine Learning * Natural Language Processing * Explainable AI * Digital Governance * Justice Sector Innovation * SDG 16: Peace, Justice and Strong Institutions ## Research Objectives * Diagnose judicial bottlenecks using case duration analysis. * Develop explainable AI models for case outcome prediction. * Support data-driven legal reform and institutional improvement. * Evaluate cross-jurisdictional transferability using East African judicial datasets. * Promote responsible AI applications in public sector decision support. --- ## Key Technologies * Python * Pandas * NumPy * Scikit-Learn * Natural Language Processing (NLP) * Semantic Retrieval * Explainable AI (LIME and SHAP) * Jupyter Notebook --- …