Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

LeratoMokuku/Health-Advisor-Bot

Domaine:

healthcare

Type de record:

software
Créateur:
Ler
Hôte:
Health Advisor Bot is an AI-powered diagnostic system using TF-IDF/cosine similarity to match symptoms with conditions. It provides medicine, herbal, nutrition & lifestyle recommendations. Demonstrates genAI understanding through intelligent corpus construction & multi-modal responses for African healthcare contexts. # Health-Advisor-Bot Health Advisor Bot is an AI-powered diagnostic system using TF-IDF/cosine similarity to match symptoms with conditions. It provides medicine, herbal, nutrition & lifestyle recommendations. Demonstrates genAI understanding through intelligent corpus construction & multi-modal responses for African healthcare contexts. 🩺 Health Advisor Bot An AI-powered health advisory system that provides symptom-based health recommendations using machine learning and comprehensive medical datasets. Built for the African context with support for conventional medicine, herbal treatments, and nutritional advice. 🌟 Features - Symptom-Based Diagnosis: Input symptoms and receive potential condition matches - Multi-Modal Recommendations: - 💊 Conventional medicine suggestions - 🌿 Herbal and traditional remedies - 🍎 Nutritional and dietary advice - ❤️ Lifestyle recommendations run jupyternotebook run_advisor_interactive() web interface Prerequisites - Python 3.8+ - pip package manager Installation 1. Clone the repository ```bash git clone cd health-advisor 2. Install dependencies pip install pandas scikit-learn flask Add your datasets (place in project root): symptoms.csv - Primary symptom-disease mappings observations.csv - Clinical observations and causes conditions.csv - Medical conditions database careplans.csv - Treatment plans and recommendations medicine_disease.csv - Medicine recommendations herbaltreatment_disease.csv - Herbal remedies nutrition_disease.csv - Nutritional advice allergies.csv - Allergy information Run the application python app.py Access the web interface Open localhost in your browser

Visit

github.com