BioGuard.AI

Videos

Description

BioGuard.AI is a cutting-edge AI-powered healthcare solution designed to offer comprehensive support to users by providing personalized medical insights, disease predictions, and mental health evaluations.

Key Features:

MedGuard: Delivers detailed medicine information, including alternatives, using AI-driven suggestions.
SymptoGuard: Analyzes patient symptoms to predict potential diseases and recommend appropriate treatments.
MindGuard: Assesses the mental health status of patients based on a series of targeted questions.

Technologies:

AI Modules: Developed using Python, leveraging machine learning algorithms to provide accurate predictions and recommendations.
Hosting: The AI modules are deployed and hosted on the StreamLit Cloud Platform, offering a seamless interface for users to interact with the AI models.
Website Development: The website was built using HTML, CSS, JavaScript, SCSS, and Bootstrap to ensure responsiveness and an optimal user experience across devices.

Advantages:

Accessible Medical Assistance: Provides immediate, AI-driven healthcare insights for users who may not have access to traditional medical services.
Accurate Disease Prediction: Leverages machine learning to analyze symptoms and predict potential diseases, saving valuable time and providing early diagnosis.
Mental Health Focus: A unique module dedicated to mental health assessment allows users to better understand their psychological state.

BioGuard.AI is poised to revolutionize the way users interact with healthcare information, making medical insights more accessible, efficient, and tailored to individual needs without the need for blockchain technologies. It’s designed to serve as a reliable, AI-enhanced assistant for users across various healthcare domains.

Progress During Hackathon

During the hackathon, our team focused on building BioGuard.AI step by step. We started by ideating solutions and defining key modules: MedGuard for medicine info, SympGuard for disease prediction, and MindGuard for mental health. Each team member tackled specific tasks. I developed the website’s frontend using HTML, CSS, JS, and Bootstrap, while Kalpesh handled backend integration. Ashmita researched AI algorithms. We iterated quickly, tested each feature, and successfully deployed the project using StreamLit cloud.