Inspiration

Jan Sevak was inspired by the growing need for efficient healthcare management systems that leverage AI to enhance patient care, streamline appointments, and provide valuable health information.

What it does

Jan Sevak facilitates seamless interactions between patients and healthcare providers. It allows users to register, book appointments, predicts diseases, and offers insights into various health topics. The system's AI capabilities enhance disease prediction and mental health analysis.

How we built it

Built using Flask, Python's web framework, Jan Sevak incorporates features like user registration, appointment booking, disease prediction using a Decision Tree Classifier, a blog section, and admin privileges. It also integrates TensorFlow and Scikit-learn for machine learning tasks.

Challenges we ran into

Challenges included integrating diverse features like appointment scheduling, disease prediction, and video call capabilities while ensuring a user-friendly experience. Developing and training the machine learning model also presented its own set of challenges.

Accomplishments that we're proud of

We are proud of creating a comprehensive healthcare management system that not only handles appointments but also leverages AI for disease prediction. The inclusion of a blog section and mental health analysis adds a holistic approach to patient care.

What we learned

The project provided valuable insights into web development with Flask, integrating machine learning models for healthcare applications, and addressing challenges in designing a multifunctional system.

What's next for Jansevak

Future developments for Jan Sevak may include expanding the range of predicted diseases, enhancing the user interface, and integrating more advanced AI capabilities for personalized healthcare recommendations. Community contributions and feedback will play a crucial role in shaping its future.

Built With

Share this project:

Updates

Submission history