Drug Recommendation & Medical condition classifier Flask web app in Python

Description

Introducing our cutting-edge Flask web application, a transformative tool designed to redefine the way individuals understand and manage their health. Levering the power of advanced machine learning models, our application expertly classifies medical conditions based on textual symptom descriptions provided by users. Beyond diagnosis, it offers personalized drug recommendations, carefully selected from a vast database of drug reviews to ensure high user satisfaction and effectiveness. Developed with Python and utilizing the robust Flask framework, this application combines intuitive design with responsive functionality, making it accessible to anyone seeking insights into potential health conditions and guidance on suitable medications. Whether you’re a healthcare professional looking to augment your diagnostic tools or an individual keen on making informed health decisions, this web app stands as a beacon of innovation, offering reliable, data-driven medical advice at your fingertips.

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Project Includes:

1. Demo  Video: https://shorturl.at/ltK09
2. Working Flask App source code
3. Model Training Jupyter Notebook
4. Project Report
5. Project Synopsis
6. Project detail technical specification
7. Project Architecture
8. Online support

Features Of The App

The app includes the following components:

• Intuitive User Interface: The app is designed with a user-centric approach, ensuring ease of navigation and interaction. Users can effortlessly input their symptoms into a friendly, straightforward interface, making the process of seeking medical advice seamless and hassle-free.
• Machine Learning Model Integration: At the core of the application is a sophisticated machine learning model, meticulously trained to accurately classify medical conditions based on the textual symptoms described by users. This integration allows for rapid, reliable predictions, offering users a swift assessment of their potential health concerns.
• Top 3 Drugs Extraction Based on Medical Condition: Upon diagnosing a medical condition, the app goes further by extracting and presenting the top three drugs, specifically tailored to the identified condition. This feature is powered by an extensive database of drug reviews, ensuring that the recommendations are not only highly rated by users but also relevant and personalized.

Technology Used 

1. We have developed this project using the below technology
2. HTML : Page layout has been designed in HTML
3. CSS : CSS has been used for all the desigining part
4. JavaScript : All the validation task and animations has been developed by JavaScript
5. Python : All the business logic has been implemented in Python
6. Pandas: For extracting the top 3 drugs from the dataset.
7. Flask: The project has been developed using the Flask Framework.

Installation Steps:-

1. Install Python >=3.7
2. Install all dependencies cmd –python -m pip install –-user -r requirements.txt
3. Finally, run cmd – python app.py

Important Note:

Please be advised that the Drug Recommendation & Medical condition classifier Flask web app described herein is developed as an academic project and is intended for demonstration and educational purposes only. It should not be used for clinical diagnosis or treatment without undergoing thorough testing and validation in accordance with established medical standards and guidelines. This application is a representation of potential technological advancements in healthcare but has not been certified by medical associations for clinical use. Users are strongly discouraged from relying on this application for clinical purposes until it has been rigorously tested and approved by relevant regulatory bodies and medical professionals. We urge all users to exercise caution and consult with qualified healthcare providers for any medical diagnosis or treatment options.