🩺 ABOUT THE PROJECT SwasthAI is an AI-powered pre-consultation health assistant built using Databricks. It interacts with users by asking basic health-related questions, analyzes symptoms, and predicts possible diseases. The system provides risk levels, doctor recommendations with availability and contact details, basic and emergency medicines, and alert messages to guide users before visiting a hospital. 💡 INSPIRATION The idea came from observing that many people ignore early symptoms or visit hospitals unnecessarily for minor issues. In rural and busy urban areas, access to quick medical guidance is limited. We wanted to build a simple AI assistant that can give instant preliminary guidance and help users take better health decisions. 👩‍💻 WHAT WE DID Built an AI-based symptom analysis system Added doctor-like questioning (symptoms, duration, severity) Implemented disease prediction logic Integrated doctor recommendations with availability and contact Added medicine suggestions and emergency alerts Used Databricks for data processing and system design 🛠️ HOW WE BUILT IT Used Python for core logic Used Apache Spark (PySpark) in Databricks for data handling Stored structured data using Delta Lake Built a rule-based AI model for prediction Used Genie AI in Databricks to enhance features and UI ideas Designed a simple interactive interface for user input and output ⚠️ CHALLENGES WE RAN INTO Learning the Databricks platform from scratch Understanding how to integrate AI logic with data processing Issues with file paths and dataset handling Difficulty in setting up frontend UI within limited time Managing time during the hackathon 🏆 ACCOMPLISHMENTS WE ARE PROUD OF Successfully built a complete working AI system Used multiple Databricks components (Spark, Delta Lake) Created an interactive and user-friendly solution Added advanced features like doctor suggestions, alerts, and medicines Completed the project within limited time 📚 WHAT WE LEARNED Basics of Databricks and Lakehouse architecture Using Apache Spark for data processing How AI logic can be applied to real-world problems Importance of structured thinking and teamwork How to build and present a project under pressure 🚀 WHAT’S NEXT Improve accuracy using machine learning models Add real-time hospital and doctor data Build a mobile or web application interface Integrate chatbot for conversational experience Expand to support multiple diseases and languages

Built With

apache
databricks
deltalake
python

Created by

I was responsible for the coding part of Swasthai1. I worked on implementing the core functionality of the application, including building features and ensuring everything worked smoothly.l also contributed to writing and debugging the code, integrating different components, and making sure the app performed efficiently. One challenge I faced was fixing bugs and handling errors, which I solved by testing and improving the logic step by step.
I’m especially proud of turning ideas into a working product through code. During this project, I improved my coding skills, problem-solving ability, and learned how to work effectively in a team under time pressure.l also explored using AI capabilities within Databricks to enhance the functionality of the application.

Sanjana G
Yogitha Gowda

Updates

Sanjana G started this project — Mar 24, 2026 07:05 AM EDT

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