Engineer features from tabular, text, and graph data Implement multi-branch neural networks (tabular + NLP + graph) Fine-tune pretrained NLP models (BERT/DistilBERT) Experiment with fusion + ensemble models (MLP, GraphSAGE, XGBoost)
Collect, clean, and manage geospatial datasets. Build the geospatial ontology/knowledge graph (GeoSPARQL, RDF/OWL). Perform geospatial joins (wards demographics media signals). Design ward-level audience skeleton datasets.
Develop interactive ward-level maps (Leaflet/Folium/Mapbox).Build a Streamlit/Dash dashboard. Visualize trends, hotspots, and risk levels. Integrate backend APIs (from ML pipelines) into user-friendly front-end components.