SIH-2024 (Team - SmartX) | Railmadad app

Video Summary

The video presents a prototype developed by a team of students, led by Bisha, aimed at enhancing the Railmadad app with AI-powered complaint management. The key features of the prototype include:

• User Interaction: Users can report issues in three easy steps:
  • Capture a problem (via image).
  • The AI model analyzes the image and identifies the issue.
  • The complaint is directed to the relevant department (e.g., cleanliness).
• Demo of the User Interface:
  • The UI allows users to upload images of their complaints.
  • The AI model correctly identifies issues (e.g., garbage on train seats) and assigns the complaint to the cleanliness department.
  • Users must enter their PN number for tracking purposes.
• Admin Panel Features:
  • Admins can log in and view all queries with filtering options by department.
  • The system allows for status updates on complaints and sends feedback notifications to users.
  • An analysis feature displays complaint data in bar graphs, helping the railway manage resources efficiently.
• Feedback Management:
  • The app will implement Feedback Management to analyze user responses, helping identify strengths and areas for improvement within departments.

The overall goal of the project is to streamline the complaint resolution process for railway issues using AI, enhancing user experience and operational efficiency.

Main Speaker

• Bisha, a final year BC student at Guru Nanak Dev Engineering College.