• 

  login page

• 

  admin page interface

• 

  user page interface

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  report missing person page

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  admin panel interface

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  view missing person page

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  Database structure

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  location reporting of missing persons

AI Civic Safety & Missing Person Platform

Inspiration

Missing person cases often suffer from delayed reporting, fragmented communication, and lack of real-time visibility. Families face emotional stress, while authorities depend on manual or disconnected processes. We wanted to build a citizen-centric platform that enables faster reporting, verified workflows, and stronger coordination between the public and administrators.

What it does

Our platform allows citizens to report missing persons through a mobile application by submitting details such as name, age, description, photo, and last-seen location.

An admin dashboard verifies incoming reports and manages them through structured workflows:

• Pending Reports
  
• Approved Reports
  
• Rejected Reports
  
• Public Missing Person Listings
  

The platform also includes AI chatbot support for user guidance and accessibility.

How we built it

We developed the project using a full-stack architecture:

• Flutter for mobile application development
  
• PHP REST APIs for backend services
  
• MySQL for centralized database management
  
• XAMPP for local deployment and testing
  
• Google Gemini API for AI chatbot integration
  
• Maps Integration for geolocation-based reporting

Key Features

• Citizen missing person reporting system
  
• Image upload with case details
  
• Last-seen location pinning
  
• Admin approval / rejection workflow
  
• Verified public listings
  
• Role-based access control
  
• AI-powered assistance chatbot
  
• Real-time structured database updates

Why it matters

This solution improves public safety by reducing delays in reporting and increasing trust through verified case management. It creates a scalable civic-tech platform that can support cities, institutions, NGOs, and future smart governance systems.

Challenges we ran into

• Designing a secure approval workflow to prevent false reports
  
• Synchronizing user and admin modules in real time
  
• Managing image uploads and file storage efficiently
  
• Integrating maps and location services reliably
  
• Structuring a clean and scalable database schema
  
• Balancing usability with strong administrative control

What we learned

Through this project, we learned:

• Full-stack system integration
  
• REST API development
  
• Mobile UI/UX design for civic applications
  
• Database relationship modeling
  
• Role-based system design
  
• AI API integration in real products
  
• Building technology for real social impact

Future Scope

• AI face recognition for faster matching
  
• Duplicate/fraud report detection
  
• Smart analytics dashboard
  
• Multilingual voice assistant
  
• Cloud deployment at city/state scale
  
• Integration with law-enforcement systems

Our Vision

To build a trusted digital ecosystem where citizens and authorities collaborate efficiently to locate missing persons faster and create safer communities.

Built With

• android
• api
• code
• dart
• flutter
• gemini
• github
• google
• maps
• mysql
• php
• phpmyadmin
• rest
• studio
• vs
• xampp