⚠️ Note: This project is demo-ready. The app is built with Flutter and Dart.

FRIDGIFI is an AI-powered smart pantry tracking application designed to help users manage their pantry inventory, reduce food waste, and track expenses. It acts as a personalized shopping assistant, providing reminders and recommendations based on available groceries, expiration dates, and spending habits.

Many users struggle with tracking groceries, avoiding duplicate purchases, and managing monthly food budgets. Through a survey of 40 participants, we found that an average of 73% often forget what they have at home, overspend, or buy unnecessary items. FRIDGIFI addresses these problems by providing automated reminders, AI-based image recognition for pantry items, and smart notifications to manage inventory effectively.

• Smart Pantry Tracking: Scan food items with the camera to maintain a digital inventory and track expiration dates.
• Shopping List Management: Automatically generate a dynamic shopping list and provide reminders only when items need restocking.
• Budget-Friendly Suggestions: Analyze spending habits and suggest budget-friendly options and discounts.
• Notifications & Alerts: Alerts for items running low or nearing expiration.
• User Profile Management: Edit profile, track expenses, and manage pantry inventory efficiently.

• Flutter & Dart – Frontend and app logic
• AI / ML Models – For image recognition and inventory suggestions
• Local Storage / Database – Store pantry data and user preferences

Clone the repository:

git clone https://github.com/Wilkinsonemily/FRIDGIFI---Smart-Pantry-Tracking-Application.git
cd FRIDGIFI---Smart-Pantry-Tracking-Application

Install dependencies:

flutter pub get

Run the app on your device/emulator:

flutter run

Project Team:

• Emily Wilkinson
• Vennycia Susanto
• Olivia Putri
• Jessica Alhena Joprang
• Liona Loren

Figma Prototype: View on Figma

Preview of the FRIDGIFI application interface.

This project is licensed under the MIT License. You can use, copy, modify, and distribute the code freely, but you must include the same license in derivative works.

The project is demo-ready but is not an official release. Data and AI models are for demonstration purposes only. All contributors are acknowledged in the Credits section.