rahulr2109 / ayurvaidya

Empowering holistic well-being: Explore personalized Ayurvedic remedies for your symptoms and connect with a community of Ayurvedic scholars on our social platform. Ask questions, share insights, and embark on a journey towards natural healing together.

SIH1347 - Ayurvedic Drug Suggestion System (SIH WINNING PROJECT)

Introduction
This project was developed as a solution for the Smart India Hackathon (SIH) under the problem statement SIH1347. The goal was to create a software application that suggests drugs and formulations for a disease or pharmacological property based on the teachings of Ayurvedic classical books and repositories. Our team has successfully integrated various features to meet this objective.

Features
Smart Disease Prediction and Ayurvedic Prediction: Our system utilizes advanced algorithms to predict diseases based on symptoms and provides corresponding Ayurvedic recommendations for treatment. By combining modern technology with ancient wisdom, we aim to offer holistic healthcare solutions.

Online Discussion Forum: We have implemented an online platform where users can engage in discussions related to Ayurveda, share experiences, and seek advice from peers. This fosters a community-driven approach to wellness and encourages knowledge exchange.

Body Prakriti Quiz: Understanding one's body constitution (Prakriti) is essential in Ayurveda for personalized treatment. Our quiz helps users determine their Prakriti type, allowing for tailored recommendations and better healthcare outcomes.

Help from Ayurvedic Experts: Users can seek guidance from certified Ayurvedic practitioners through our platform. This feature ensures that individuals receive expert advice and personalized treatment plans, enhancing the effectiveness of Ayurvedic remedies.

Comprehensive Database: Our system incorporates a vast repository of Ayurvedic knowledge from classical texts and contemporary research. This enables accurate drug suggestions and ensures that users have access to authentic information.

Feedback
We welcome feedback and suggestions for improving our application. Please feel free to submit issues or feature requests on our GitHub repository.