Sufrah

Smart. Safe. Personalized Food Choices.

University of Bahrain
College of Information Technology – Computer Science

Abstract

Problem

Many people struggle to choose safe and healthy meals due to hidden ingredients, allergy risks, and lack of clear nutritional information in restaurant menus.

Importance

Making informed food choices is essential for people with allergies, dietary restrictions, and health goals such as calorie control.

Solution

Sufrah is an AI-powered restaurant recommendation mobile application that analyzes meals, identifies ingredients, displays nutritional values, and suggests safer options.

Outcome

The system helps users make confident and healthier food decisions while reducing allergy risks and improving dining safety.

Project Objectives

Recommend safer and healthier meals based on user dietary needs.
Identify ingredients from food photos and display nutrition and calorie details.
Highlight allergy risks and unsuitable meal options.
Provide a chatbot and smart menu for easier food decisions.

Methodology & Approach

Architecture

System Architecture & Data Flow

Data

Database & Entity Relationship Diagram

Development

  • Flutter mobile development
  • AI-based image recognition

Evaluation

  • Usability testing
  • User feedback
  • Functional validation

Technologies Used

Technologies Used

Results

Accuracy

The application accurately identifies ingredients from food images and provides clear nutritional and calorie information.

Smart Menu

Personalized recommendations match users’ allergies, dietary preferences, and health requirements.

Chatbot

The chatbot improves user experience by answering food and health-related questions quickly and clearly.

Demo

English Elevator Pitch

Arabic Elevator Pitch

Conclusion & Future Work

Conclusion

Sufrah enhances dining safety and transparency by combining AI, nutrition analysis, allergy detection, and personalized meal recommendations.

Future Work

  • Table reservation system
  • Group and event booking
  • Dark mode support
  • Expand restaurant coverage

About the Project & Team

This project is a final Year Senior Project completed during semester 1 of the acadmiv year 2025/2026 at college of Information Technology-University of Bahrain

Students

Name Major Email LinkedIn Cv
Mohammed Alhusaini Computer Science hamod10644@gmail.com LinkedIn Link Cv Link
Omar Alajlan Computer Engineering ajlanomar.9@gmail.com LinkedIn Link Cv Link
Hadil Alhamad Computer Science hadeelalhamad30@icloud.com LinkedIn Link -

Supervisors

Dr. Amine Mahjoub , amahjoub@uob.edu.bh
Dr. Reham N. Almesaeed , ralmesaeed@uob.edu.bh