HealthLens AI | AI-Powered Health Risk Screening

HealthLens AI is an educational healthcare application developed to demonstrate the practical use of artificial intelligence and machine learning for health-risk screening.

The application provides machine-learning models for diabetes and heart disease risk assessment. Users can enter health-related information through validated forms and receive a prediction probability, risk category, visual report, and general educational recommendations.

The application also includes AI-assisted medical report analysis using Google Gemini. Users can upload supported PDF or image-based reports, allowing the system to extract relevant health values and prefill applicable prediction fields. Extracted information can be reviewed and corrected by the user before completing an assessment.

Logged-in users can maintain their prediction history, download prediction reports, and manage previously generated records. The application can also use browser-based location access to help users find nearby healthcare facilities through OpenStreetMap, with optional Google Places integration for additional facility information.

HealthLens AI is designed for academic demonstration, machine-learning exploration, and healthcare technology awareness. It does not provide medical diagnosis, treatment, or professional medical advice.

1. Create an account or log in to the application.
2. Open the Models section.
3. Select Diabetes or Heart Disease assessment.
4. Enter the required health information through the validated form.
5. Alternatively, upload a supported medical report from the Profile section.
6. Use the AI-assisted analysis feature to extract relevant values from the uploaded report.
7. Review and correct the extracted values before continuing.
8. Submit the assessment for machine-learning prediction.
9. View the prediction probability, risk category, visual results, and educational recommendations.
10. Download the generated prediction report when required.
11. View previously generated predictions through prediction history.
12. Delete prediction records when they are no longer required.
13. Allow browser location access to search for nearby healthcare facilities.

Python 3.10+
Django
TensorFlow & Keras
Scikit-learn
Pandas & NumPy
Google Gemini API
Modern web browser
Internet connection
Gemini API key