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GenAI Hackathon Winning Project - AI-Assisted Diagnosis Platform

Overview

Won the GenAI Hackathon conducted by the RVCE ACM Student Chapter and ACCELERATE RVCE! 🎉

The hackathon challenged us to build a solution for a problem statement within just 3 hours. We chose a problem focused on assisting doctors in diagnosing a large number of patients efficiently using AI. Our solution integrates AI-driven initial diagnosis with doctor verification for a seamless and effective process.

Problem Statement

Efficiently diagnose a large number of patients using AI to:

  • Reduce workload for doctors.
  • Provide patients with faster access to medical insights.
  • Maintain accuracy and reliability in medical diagnoses.

Solution

Platform Features:

  1. AI-Powered Patient Interaction

    • Patients interact with an AI for an initial diagnosis.
    • The AI follows a structured process, asking detailed and specific questions about symptoms.
    • Generates a detailed diagnostic report.

  2. Doctor Verification

    • Doctors review patient reports, including:
      • Personal information.
      • AI-patient conversation.
      • Top predicted diseases.
    • Doctors can:
      • Accept or reject the diagnosis.
      • Provide prescriptions.
      • Add remarks.

  3. Patient Portal

    • Patients can view:
      • Diagnosis details.
      • Prescriptions.

Tech Stack

  • Frontend: Next.js
  • AI Integration: Groq

Usage

  1. Patient Workflow:
    • Log in to the platform.
    • Answer the AI's questions about symptoms.
    • Receive a detailed AI-generated report.
  2. Doctor Workflow:
    • Log in to the platform.
    • Review patient reports.
    • Accept or reject the diagnosis, provide prescriptions, and add remarks.
  3. Patient Access:
    • View verified diagnosis and prescriptions through the portal.

How It Works

  1. AI Diagnosis:

    • Leverages Groq to process patient inputs.
    • Uses a structured question-and-answer process.
    • Predicts potential diseases and generates a detailed report.

  2. Doctor Review:

    • Ensures AI suggestions are validated by medical professionals.
    • Maintains accountability and reliability in the diagnosis process.

  3. Patient Transparency:

    • Provides patients with clear and actionable insights.
    • Facilitates easy access to medical records and prescriptions.

Future Scope

  • Expand the AI's database for broader diagnostic capabilities.
  • Integrate with electronic health records (EHR) systems.
  • Add multi-language support for greater accessibility.