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https://github.com/prathamesh-mutkure/anti-cheat-exam-app
Flutter App that aims to reduce cheating in online exams with power of AI and ML
https://github.com/prathamesh-mutkure/anti-cheat-exam-app
express firebase flutter google-ml-kit mongodb nodejs
Last synced: 1 day ago
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Flutter App that aims to reduce cheating in online exams with power of AI and ML
- Host: GitHub
- URL: https://github.com/prathamesh-mutkure/anti-cheat-exam-app
- Owner: prathamesh-mutkure
- Created: 2021-04-17T09:07:48.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-11-14T17:49:18.000Z (about 2 years ago)
- Last Synced: 2023-05-16T17:00:53.550Z (over 1 year ago)
- Topics: express, firebase, flutter, google-ml-kit, mongodb, nodejs
- Language: Dart
- Homepage: https://anti-cheat-exam-app.vercel.app/
- Size: 509 KB
- Stars: 21
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Anti-Cheat Exam App 🌟
An App that aims to stop cheating in online exams with the power of AI and ML, co-created with [Samyak Sukhdeve](https://github.com/SamyakSukhdeve)
We also have a web version of the app with more features and better features, check that project [here](https://github.com/prathamesh-mutkure/anti-cheat-app-web)
## Features and Interfaces
1. Login Page
- Login with the provided user id and password
- Powered by JWT tokens
2. Home page
- Shows all the exams assigned to the user
- The user can start an exam only on the correct timeslot
- Logout through button in the app bar
3. Exam Page
- The user can answer MCQ-based questions
- The user can also view their progress
- 
7. AI-powered face motion detector
- We've used Google's on-device `ml-kit` to track the motion of the user's face.
- We can check if a user is trying to cheat by monitoring the position of their face
- 
## Tech stack
#### Frontend
- Flutter
- MobX + Provider
#### Backend
- Nodejs
- Express
- MongoDB
#### Frontend
- Next.js (React)
- TypeScript
- Redux
#### Other Tools
- Google's on-device ML Kit
## Points to remember while testing the app
1. First setup the backend by following instructions in this [repository](https://github.com/prathamesh-mutkure/anti-cheat-app-backend)
2. When testing on android emulator, if you get a connection error use `http://10.0.2.2/` instead of `localhost`
3. iOS emulator doesn't support camera, this will give an error, use a real device to test AI features.
4. On real devices, make sure your PC and mobile are connected to same network, use network IP address instead of `localhost`
5. Don't forgot the `PORT` number
6. Allow **permissions** for camera and mic when asked
7. Make sure the `BACKEND_URL` is appended with `/api`
## Instructions
1. Import the project through Android Studio or clone it
- `https://github.com/prathamesh-mutkure/anti-cheat-exam-app.git`
3. Install flutter packages
- `flutter pub get`
4. Generate store classes
- `flutter packages pub run build_runner build`
5. Create a `.env` file and set the following variables
- `BACKEND_URL`
6. Connect your device or emulator and run the app
- `flutter run`
7. The app is now running
## Useful Links
- [Project Demo](https://anti-cheat-exam-app.vercel.app/) for Web version
- [Mobile App](https://github.com/prathamesh-mutkure/anti-cheat-exam-app) (Android & iOS)
- [Backend Repository](https://github.com/prathamesh-mutkure/anti-cheat-app-backend)
- [Project Thesis](https://drive.google.com/file/d/1fXXXjcE74pIOEwavstTmporuOECc7cUu/view) (Submitted mobile app as final year project for my diploma)
## Need help?
Feel free to contact me on [Twitter](https://twitter.com/prathamesh_io/) or [LinkedIn](https://www.linkedin.com/in/prathamesh-mutkure/), know more about me at [prathamesh.co](https://prathamesh.co)
[](https://twitter.com/prathamesh_io/) [](https://www.instagram.com/prathamesh_mutkure/)