Skip to content

README.md

Latest commit

 

History

History
43 lines (33 loc) · 1.97 KB

README.md

File metadata and controls

43 lines (33 loc) · 1.97 KB

Trackify - AI Attendance Tracker

Trackify is a next-generation AI-powered attendance tracker built with Gemini, Flutter, Firebase, and RevenueCat. It simplifies attendance management by enabling natural language queries and leveraging advanced machine learning for seamless operation across educational institutions, workplaces, and events.

Features

  • AI-Powered Natural Language Query: Powered by Gemini, enabling users to ask questions like "Who was absent last week?" or "What is the attendance rate for today?"
  • Cross-Platform Compatibility: Built with Flutter to ensure a smooth experience on Android, iOS, and the web.
  • Authentication: Secure and scalable authentication powered by Firebase.
  • Cloud-Based Storage: Attendance data is securely stored and managed using Firebase's Realtime Database or Firestore.
  • In-App Purchases: Monetized with RevenueCat, offering premium features like advanced analytics and custom reports.
  • Customizable Groups: Manage attendance for classes, teams, or departments effortlessly.
  • Insights & Reporting: Generate detailed attendance reports in PDF or Excel formats.

Screenshots

Home Screen Attendance Report NLQ Screens Screens

Tech Stack

  • Frontend: Flutter
  • Natural Language Processing: Gemini for AI-powered natural language queries
  • Backend: Firebase (Authentication, Database Storage)
  • In-App Purchases: RevenueCat for IAP management

Installation

  1. Clone the repository: 
    git clone https://github.com/saquibjawedbit/trackify.git  
cd trackify
  2. Install dependencies: 
    flutter pub get