with Kurapati Goutham, Gokul and Amrit Sundarka
Website: VedAssist-site
Video demo: VetConnect-video_demo
Github repo link: VetConnect-source_code
This repository contains the backend for this web application with a dummy frontend. The actual frontend is available at Vedassist-Frontend, made using react.
VedAssist 2.0 is a Django web application designed to provide assistance for users seeking quick information on Ayurvedic medicines.
This is a user-friendly web application that offers features such as a symptom-based medicine recommendation system and a virtual Ayurvedic medicine store.
This application allows users to get predictions of ayurvedic medicines based on their symptoms and general details like age, gender and weight. Then, the suggested medicines can be directly looked up at the shop and can be purchased (simulation of purchase).
To purchase, the user must signup / login. The shop consists of all available ayurvedic medicines with description and prices. Users can search for medicines based on the name, description or price and purchase them virtually.
The inspiration behind "VedAssist 2.0" is to make Ayurvedic medicine information accessible to users who wish to explore and purchase these traditional remedies.
The project aims to bridge the gap between Ayurveda and modern technology by providing a user-friendly interface for medicine recommendations and purchases.
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The "Predict" portal in "VedAssist 2.0" is designed to assist users in identifying Ayurvedic medicines based on the symptoms they are experiencing. It utilizes a symptom-based recommendation system to provide personalized suggestions for users.
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Each recommended medicine is accompanied by a detailed description, including its composition, recommended dosage, and potential side effects.
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Users can make an informed decision about which medicine is right for them based on this information.
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The "Shop" portal in "VedAssist 2.0" is designed to assist users in purchasing Ayurvedic medicines. This portal provides a virtual store where users can browse and purchase Ayurvedic medicines.
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The portal displays a comprehensive list of available Ayurvedic medicines in a tabular format.
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Each medicine entry includes essential details such as the name, price, description, and an option to purchase.
- The "History" page in "VedAssist 2.0" displays a comprehensive list of all the transactions made by the user.
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Visit the hosted URL www.vedassist.co
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Scroll down on the landing page to read about the project and its features.
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Click on Get Started to register yourself or Log in if you already have an account.
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Or, you may use the navbar to go to the desired page.
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After logging in, you will be redirected to the predict page.
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Here, you can enter your symptoms and click on Predict to get a list of recommended medicines.
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This symptom and prediction data is not stored anywhere, in order to respect user privacy.
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You can click on Shop in the navbar to go to the shop page.
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There is a searchbar on the top of the page, where you can search for a specific medicine.
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Here, you can browse through the list of available medicines, read about them and click on Buy to purchase them.
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Your account balance is displayed on the top right corner of the page.
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You can click on + to add money to your account.
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Balance will be updated respectively for each transaction.
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You can click on History in the navbar to go to the history page, where you will find the list of your transactions from the shop.
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Click on Log out in the navbar to log out of your account.
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To run this project yourself, you need to have Python 3.6+ installed on your system.
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Clone this repository onto your github either by using the GUI or the following command:
git clone https://github.com/vijay-varadarajan/VedAssist2.git- Install the required packages using the following command:
pip install -r requirements.txt- Run the following command to start the server:
python manage.py runserver- Open the following link in your browser to view the web application:
http://127.0.0.1:8000/