Welcome to Symptoscan

Empowering Your Health Journey with Predictive Insights and Informed Wellness Choices
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User-Friendly Interface

The user interfaces are designed with a focus on simplicity and clarity, allowing users to navigate.

Disease Prediction

Users are able to input their symptoms, which will then use Machine Learning to predict the diseases.

Health Education

The app features a comprehensive information of diseases, including symptoms, remedies etc.

Project SymptoScan

-Empowering Your Health Journey with Predictive Insights and Informed Wellness Choices-

About SymmptoScan

SymptoScan- your health guardian, seamlessly predicting diseases, offering personalized health insights, and fostering a proactive well-being revolution through cutting-edge technology and user-centric design.

Machine Learning Model

The core of “SymptoScan” lies in its machine learning model, meticulously trained to predict 41 types of diseases which are mainly pre-trained model used for implementation of this application from HuggingFace

Disease Suggestion Section

Users are able to input their symptoms and health information into the app, which will then utilize a machine learning model to provide predictions about potential diseases.

Health Education Section

The app features a comprehensive information of diseases, including information about symptoms, risk factors, prevention strategies, and available treatments.

Motivation

- Inspiring Proactive Wellness, Empowering Lives through Cutting-Edge Predictive Health Technology-

Empowering Early Intervention

Providing users with predictive insights to empower early intervention and preventive measures, transforming the narrative of healthcare from reactive to proactive.

Revolutionizing Disease Detection

Driving a paradigm shift in disease detection, SymptoScan leverages advanced machine learning to predict 41 diseases, revolutionizing the way we approach health diagnostics.

Transformative User Experience

SymptoScan redefines the user experience, delivering not just an app but a transformative tool that prioritizes psychological aspects, creating a supportive health interaction.

Cultivating a Culture of Wellness

Beyond prediction, SymptoScan cultivates a culture of wellness by actively engaging users in their health journey, fostering awareness, and encouraging proactive health management as well.

Inspiring Informed Decision-Making

Inspiring users to make informed health decisions by providing comprehensive information on symptoms, prevention strategies, and remedies through the intuitive Health Tips section.

Democratizing Healthcare Access

Bridging gaps in healthcare by democratizing access to cutting-edge disease prediction, health education, and empowerment tools, ensuring inclusivity for users globally.

Project Portfolio

-Turning Vision into Reality: A Visual Journey Through Our Project-"

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Applications & Impacts

-Transforming Predictive Insights into Empowered Lives, One Disease at a Time-

Proactive User Engagement

Beyond predictions, SymptoScan actively engages users in their health journey, promoting informed decision-making and cultivating a culture of wellness.

Disease Prediction Prowess

SymptoScan harnesses advanced machine learning to predict 41 diseases, providing users with early insights into potential health risks.

Societal Impact

Contributing to public health awareness by democratizing access to early disease detection, fostering a culture of proactive health management.

Collaborators

-Uniting Visionaries, Revolutionizing Healthcare Together-

I'm Abu Md. Masbah Uddin, a problem solver and lifelong learner, currently pursuing my BSc degree in CS at CUET.

Masbah Uddin
CS Undergrad, CUET

Hi, I'm Tofayel Ahmmed Babu, a problem solver and lifelong learner, currently pursuing my BSc degree in CS at CUET.

Tofayel Ahmmed
CS Undergrad, CUET

Hi, I'm Md Hossan R., a problem solver and lifelong learner, currently pursuing my BSc degree in CS at CUET.

Md. Refaj Hossan
CS Undergrad, CUET

Hi, I'm Sabik Aftahee, a problem solver and lifelong learner, currently pursuing my BSc degree in CS at CUET.

Sabik Aftahee
CS Undergrad, CUET

Contact Us

-Get in touch-