Witnessed numerous cases of misdiagnosis due to lack of comprehensive patient history and time constraints faced by doctors.
Noticed the limited number of radiologists in India (1 radiologist for 100,000 people), making it difficult for patients to get timely appointments.
Aimed to address these challenges using expertise in various fields to improve diagnostic processes and patient care.
What it does
HealthApp enhances connectivity between patients and healthcare providers (HCPs) through modernized remote monitoring and real-world data integration.
Focuses on respiratory diseases, using machine learning models to analyze X-ray images and detect Viral Pneumonia, COVID-19, normal conditions, and Lung Opacity.
Provides precise and timely diagnostics, improving patient outcomes and streamlining the diagnostic process for healthcare providers.
How we built it
Tech Stack:
MERN (Web Application):
MongoDB: Database management.
Express.js: Backend framework.
React.js: User interface development.
Node.js: Server-side runtime environment.
Machine Learning Model:
Flask: Integrating the model with the web app.
TensorFlow: Developing the model.
Challenges we ran into
Determining the optimal flow for each page of the application.
Facing issues with idea generation and refinement.
Finding appropriate data for training the machine learning models.
Integration of different components of the project posed technical challenges.
Accomplishments that we're proud of
Successfully integrated a sophisticated machine learning model into the web application.
Developed a user-friendly interface that simplifies the diagnostic process for patients and doctors.
Created a scalable solution that can handle large amounts of data and users efficiently.
What we learned
Gained deeper insights into the complexities of integrating machine learning models with web applications.
Learned about the importance of user-centered design in creating effective healthcare solutions.
Enhanced our understanding of remote patient monitoring and its impact on healthcare delivery.
What's next for VitalTech
Optimization: Focus on refining existing features to enhance user experience and diagnostic accuracy.
New Functionalities: Explore adding new functionalities, such as a dedicated registration page with available doctor slots and detailed patient descriptions with respective predictions.
Expansion: Continue improving and expanding HealthApp's capabilities to cover more diseases and types of data, ensuring healthcare becomes more accessible, efficient, and effective for everyone.
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