AstroXenoByte/MediPredict

Deep Learning and Machine Learning website influenced by african thought, to help and better the communities well-being # MediPredict Deep Learning and Machine Learning website influenced by african thought, to help and better the communities well-being # Medipredict: Multi-Disease Prediction Web Application ## Overview Medipredict is a web-based application designed to provide **scientific predictions** for multiple health conditions using machine learning models. The goal is to offer accessible preliminary screening tools for users who may lack easy access to clinical diagnostics. ## Current Features - **Breast Cancer Prediction:** Diagnoses likelihood of malignancy based on clinical data inputs. - **Diabetes Prediction:** Uses user input on health indicators and lifestyle factors (e.g., smoking) to predict diabetes risk. - **Eye Disease Detection:** Analyzes eye images to identify common ocular conditions. Each prediction model has its dedicated subpage accessible from the main website. --- ## Important Notes - This application is for **educational and preliminary screening purposes only**. - It does **not replace professional medical advice, diagnosis, or treatment**. - Users should consult healthcare professionals for accurate diagnosis and care. --- ## Technology Stack - Frontend: HTML, CSS, JavaScript - Backend: Python (Flask / Django / FastAPI - specify your framework) - Machine Learning Models: Various classifiers and deep learning models (see individual repos) - Deployment: Local hosting (future plans for cloud hosting) --- ## Architecture - Central landing page linking to each disease prediction tool - Each tool has: - Input forms (numerical, categorical, or image uploads) - Model inference engine - Results interpretation and recommended next steps - Designed with scalability for additional diseases/models --- ## Development Status - Cancer, diabetes, and eye disease prediction models are implemented and integrated. - Website UI/UX is under active development. - Deployment and user testing planned for next phases. --- ## Future Plans - Improve UI/UX with resp …