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Complete Medical Assistance website using Django Web-framework, responsive front-end. Using Supervised Classification Model deployed as FastAPIs predicting probability of Diabetes & Breast Cancer.

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Med-Help: Empowering Healthcare Access in the Digital Age

Tech-Stack :

  1. Django : Django is a high-level open-source web framework for Python that simplifies web application development. It provides features like a powerful database system, a customizable admin interface, URL routing, and security measures. Django encourages best practices and offers tools for building web applications efficiently. It's known for its flexibility and is commonly used for a wide range of web projects, from simple websites to complex applications.
  2. FastAPI : FastAPI is a modern, fast, and highly efficient web framework for building web APIs with Python. It is designed to be easy to use, while also being incredibly performant. FastAPI leverages Python type hints to automatically generate documentation and validate incoming requests, making it a popular choice for building RESTful APIs quickly and robustly.
  3. Machine-Learning Model: Supervised Learning Classification Model - Support Vector Machine (SVM) classification is a machine learning algorithm used for separating data into two or more classes. It finds a hyperplane that maximizes the margin between classes, making it effective for both simple and complex classification tasks. SVMs can handle high-dimensional data, are robust against overfitting, and can handle imbalanced datasets. However, they can be computationally intensive and may lack interpretability. They work well in situations where you need a clear boundary between classes.
  4. Bootstrap : Bootstrap is a popular open-source CSS framework that simplifies web design by providing pre-designed styles and components for creating responsive and visually appealing web pages. While it includes optional JavaScript components to enhance interactivity, it is primarily a CSS framework, not a comprehensive JavaScript framework. Bootstrap helps developers build consistent and attractive web interfaces with ease.

Note : This website currently has 2 ML-Preditive Models -

  • Diabetes Prediction Model - Accuracy Score : 70.13%
  • Breast Cancer Prediction Model - Accuracy Score : 90.35%

This website currently has 2 branches -

  • main - ML Models are stored in the Website Server
  • main_api - ML Models are deployed as FastAPIs and the results are fetched by the website server on request.

Features of Med-Help

Med-Help offers several key features that set it apart in the world of online healthcare support.

  1. Disease Predictions: One of the standout features of Med-Help is its disease prediction functionality. The platform provides predictive algorithms for common conditions like diabetes and breast cancer. These algorithms utilize data and symptoms input by the user to provide an estimate of the likelihood of having or developing these conditions. While these predictions are not a substitute for professional medical advice, they serve as a valuable tool to raise awareness and encourage proactive healthcare decisions.

  2. Health Information: Med-Help provides a wealth of medical information, including articles, videos, and guides on various health topics. These resources are designed to empower individuals with the knowledge they need to make informed healthcare decisions. Whether someone is seeking information about a specific condition, medication, or lifestyle choices, Med-Help aims to be a comprehensive source of information.

  3. BMI Calculator: Maintaining a healthy weight is a fundamental aspect of overall health. Med-Help offers a Body Mass Index (BMI) calculator that allows users to assess their body composition. By inputting their height and weight, individuals can determine whether they fall within a healthy weight range. This tool can be a helpful resource for those looking to monitor their weight and make informed decisions about their health.

  4. Under Development: While Med-Help is already a valuable resource, it is continually under development. The platform's creators are dedicated to expanding its offerings to become a one-stop medical assistance portal. This commitment to growth and improvement ensures that users can expect even more tools and services in the future.

  5. Community Support: Med-Help fosters a sense of community by allowing users to share their experiences, ask questions, and connect with others who may have similar health concerns. This feature creates a supportive environment for those seeking emotional and informational support during their health journey.

The Promise of Med-Help

Med-Help's mission is to democratize healthcare knowledge and support, making it accessible to a global audience. By providing free disease predictions, tools like the BMI calculator, and a wealth of health information, it empowers individuals to take an active role in managing their health. The platform not only aids users in making informed decisions about their well-being but also encourages a proactive approach to healthcare.

However, it's essential to remember that Med-Help is not a replacement for professional medical advice or services. While it can be a valuable resource for information and self-assessment, individuals should always consult with healthcare professionals for accurate diagnoses and personalized treatment plans.

In conclusion, Med-Help is an online platform that brings the benefits of modern technology to the realm of healthcare. With its current features and a commitment to continual improvement, it has the potential to become an indispensable tool for individuals looking for reliable medical assistance and information. By providing free access to healthcare knowledge, Med-Help aligns with the broader trend of patient empowerment and informed decision-making in the digital age.

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Complete Medical Assistance website using Django Web-framework, responsive front-end. Using Supervised Classification Model deployed as FastAPIs predicting probability of Diabetes & Breast Cancer.

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