Project Overview
This project demonstrates how classical information retrieval (IR) techniques can be applied to improve access to credible health-related documents, supporting SDG 3: Good Health and Wellbeing. The system processes health-focused PDF documents, indexes their content, and retrieves relevant information efficiently in response to user queries.
Many individuals, healthcare professionals, and policymakers struggle to locate trustworthy health information within large document collections. This system addresses that challenge with a structured, explainable retrieval pipeline.
Project Goal
To develop a structured and reliable information retrieval system that enables fast, accurate access to verified public health documents for evidence-based decision-making.
Project Results & Visual Output
The following are sample visual outputs and dashboards from the Health Information Retrieval System. These outputs demonstrate document retrieval results, query relevance rankings, and performance metrics for SDG 3–aligned health topics.
Health Information Retrieval Interface.
Key Features & Achievements
- Designed and implemented a BM25-based IR engine for health documents
- Indexed and processed PDFs with metadata extraction and snippet generation
- Supported realistic health queries (e.g., infectious diseases, prevention)
- Evaluated performance using Precision@K, AP, and MAP metrics
- Demonstrated strong retrieval accuracy for SDG 3–focused queries
- Analyzed limitations and proposed semantic search enhancements
Technologies Used
Information Retrieval
- BM25 Ranking Model
- Keyword-Based Search
Programming & Processing
- Python
- PDF Parsing
- Text Preprocessing
Evaluation
- Precision@5 / @10
- Average Precision (AP)
- Mean Average Precision (MAP)
Domain Focus
- Public Health Information Systems
- SDG-Aligned Analytics
Use Cases
- Public health research and analysis
- Healthcare decision support systems
- Policy and SDG monitoring tools
- Academic and institutional health platforms
- NGO and government health knowledge systems
What This Project Demonstrates
This project demonstrates the ability to build reliable, explainable information retrieval systems that support public health awareness, evidence-based decision-making, and sustainable development goals.