Dietify 🍽️ – AI Based Diet & Nutrition Consultation App

📌 Overview

Dietify is an AI-powered mobile application designed to provide real-time, personalized diet and nutrition consultation. The platform leverages artificial intelligence and machine learning to generate adaptive meal plans, track nutritional intake, and offer intelligent dietary insights based on individual user profiles.

This project was developed as a Final Year B.Tech Capstone Project under the Department of Artificial Intelligence & Data Science,
K.J. Somaiya Institute of Technology, Mumbai.

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🎯 Key Features

• 🧠 AI-based personalized diet recommendations
• 📊 BMI, BMR & TDEE calculation
• 🥗 Support for multiple diets (Vegan, Keto, Gluten-Free, Diabetic-friendly)
• 📷 Barcode-based food logging (USDA & Open Food Facts)
• 📈 Nutrition & calorie tracking dashboard
• 💬 AI Chatbot powered by Gemini LLM
• 🏃 Exercise & yoga recommendations
• 🔐 Secure & GDPR-compliant data handling

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🛠️ Technology Stack

Frontend

• Flutter (Dart)
• Android SDK / iOS SDK

Backend

• Django (Python)
• Django REST Framework
• SQLite (Development)
• PostgreSQL (Planned for production)

AI & Machine Learning

• Gemini LLM (Conversational AI)
• Scikit-learn (Regression & Classification)
• AWS SageMaker (Future predictive analytics)

Cloud & DevOps (Planned)

• AWS EC2, S3, RDS
• GitHub Actions (CI/CD)

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🚀 Getting Started

Prerequisites

• Flutter SDK (v3.10+)
• Python 3.11
• Android Studio / VS Code
• Django 4.2

Installation

# Clone the repository
git clone https://github.com/your-username/dietify.git
cd dietify

Frontend Setup

cd mobile_app
flutter pub get
flutter run

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python manage.py runserver

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📈 Evaluation Metrics

Parameter	Benchmark
System Usability Score (SUS)	84 / 100
API Response Time	< 800 ms
Goal Achievement Rate	≥ 65%
Diet Adherence Rate	> 70%

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🔐 Security & Compliance

• Encrypted user data
• GDPR-compliant architecture
• Role-based access control

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🔮 Future Scope

• Wearable device integration (Fitbit, Google Fit)
• Predictive health analytics using LSTM
• Food image recognition (CNN)
• EHR & healthcare provider integration
• Multi-language support
• Gamification & habit-formation AI

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👨‍💻 Project Authors

• Devang Mestry
• Vedant Sawant
• Aasttha Bhatt

Project Guide: Dr. Vaishali Wadhe

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📜 License

This project is licensed under the MIT License.

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📚 References

• USDA FoodData Central
• Open Food Facts
• Research papers cited in the final project report

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Dietify aims to make personalized nutrition accessible, scalable, and intelligent using AI-driven preventive healthcare.