Welcome to the Personalized Medical Recommendation System – an advanced platform leveraging machine learning to empower users in understanding and managing their health. By analyzing user-input symptoms, this system accurately predicts potential health conditions and provides customized recommendations. Discover what makes this system exceptional:
An intuitive interface allows for effortless symptom entry, creating a seamless and accessible user experience.
Featuring cutting-edge machine learning models, the system accurately predicts potential health conditions based on symptoms, delivering reliable and precise insights.
Receive personalized recommendations, including:
- Top 5 recommended medications based on predicted conditions
- Detailed prescription guidance
- Customized workout routines tailored to health needs
The system is fully accessible through a Flask web application, allowing users to easily access healthcare insights from anywhere.
User privacy and data security are top priorities. Health information is managed with strict confidentiality, meeting the highest industry standards.
Built for continuous enhancement, this system’s machine learning models evolve with more data, ensuring increasingly accurate and relevant recommendations.
The dataset used in this project is available on Kaggle: Medicine Recommendation System Dataset