https://github.com/mtalhaofc/nutrition_system

A simple AI-powered web app built using Streamlit that provides personalized weekly meal plans and nutrition recommendations based on user demographics, health goals, and nutritional preferences.
https://github.com/mtalhaofc/nutrition_system

cosine-similarity data data-science food machine-learning model nutrition pandas python streamlit

Last synced: about 2 months ago
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A simple AI-powered web app built using Streamlit that provides personalized weekly meal plans and nutrition recommendations based on user demographics, health goals, and nutritional preferences.

• Host: GitHub
• URL: https://github.com/mtalhaofc/nutrition_system
• Owner: MTalhaofc
• Created: 2024-12-18T18:55:29.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-24T11:24:10.000Z (about 1 year ago)
• Last Synced: 2026-01-02T12:37:44.562Z (6 months ago)
• Topics: cosine-similarity, data, data-science, food, machine-learning, model, nutrition, pandas, python, streamlit
• Language: Python
• Homepage: https://nutritionsystem-w2tltvhzspqrvesqhv3xjm.streamlit.app/
• Size: 1010 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🥗 Nutrition Recommendation System

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A simple AI-powered web app built using **Streamlit** that provides personalized weekly meal plans and nutrition recommendations based on user demographics, health goals, and nutritional preferences.

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## 🚀 Features

- 🧑‍⚕️ Collects user demographics (age, gender, height, weight, activity level, health goal)

- 📊 Generates personalized weekly meal plan based on user data

- 🍽️ Filter meals by calories, protein, fat, and carbohydrates

- 🤖 AI-powered recommendations using simple filtering and nearest matching

- 🌐 Deployed online via Streamlit Cloud

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## 🛠 Built With

| Technology | Description |

|-------------|-------------|

| ![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white) | Core Programming Language |

| ![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=streamlit&logoColor=white) | Web Application Framework |

| ![Pandas](https://img.shields.io/badge/Pandas-150458?style=for-the-badge&logo=pandas&logoColor=white) | Data Processing |

| ![Scikit-learn](https://img.shields.io/badge/Scikit--Learn-F7931E?style=for-the-badge&logo=scikitlearn&logoColor=white) | ML / Filtering |

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## 📸 Screenshots

| Page | Screenshot |

|------|-------------|

| 🔷 User Input Form | ![User Input Form](https://raw.githubusercontent.com/MTalhaofc/nutrition_system/main/Screenshot%20from%202025-06-21%2012-46-18.png) |

| 🔷 Meal Recommendations | ![Meal Recommendations](https://raw.githubusercontent.com/MTalhaofc/nutrition_system/main/Screenshot%20from%202025-06-21%2012-46-09.png) |

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## 📂 Project Structure

```bash

├── nutrition_app/      # Main Streamlit app files

│   ├── app.py          # Streamlit main app

│   ├── data.csv        # Nutrition dataset (sample meals)

├── README.md           # Project documentation

```

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## 📬 Contact

For any queries, feel free to reach out to me on [LinkedIn](https://www.linkedin.com/in/mtalhaofc/).

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