tushxr24/GIS-Based-DSS
0
๐๏ธ XAI Facility Recommendation DSS v3.0
A Decision Support System for urban facility site selection in Sangli-Miraj, Maharashtra, combining:
- Corrected TOPSIS (multi-criteria decision analysis)
- Random Forest (machine learning classification)
- SHAP (explainable AI, if installed)
- Hybrid Scoring (weighted combination of TOPSIS + ML)
Features
- Interactive map of candidate parcels with hybrid scores
- Adjustable TOPSIS weights via sidebar sliders
- Top-N ranked parcel recommendations with confidence labels
- Per-parcel XAI explanations (TOPSIS contributions + SHAP/feature importance)
- ML model validation panel (accuracy, cross-validation, confusion matrix)
- TOPSIS vs ML vs Hybrid rank comparison table
Data
Upload your Final_table_smkc.xlsx file (sheet: Miraj_BarrenLand_Correc_Clip) to the Space's root directory before running. The file must contain the columns listed in the app's load_and_process_data() function.
Local Setup
pip install -r requirements.txt
streamlit run app.py