🍲 Smart Bhojan: Personalized Nutrition & Recipe Dashboard

Smart Bhojan is a Streamlit-based web application designed to help users understand the nutritional profile of Indian dishes. It calculates a custom health score, visualizes macronutrients, and provides downloadable PDF recipe reports.

📖 How to Use

1. Search: Use the sidebar to search for your favorite Indian dish.
2. Analyze: Check the Health Score and the macronutrient breakdown chart.
3. Customize: Adjust the "Target kcal" slider to see how the meal fits your goals.
4. Download: Click the "Download PDF Report" button to save the recipe and nutrition facts offline.

🔗 Live Demo

Check out the live app here: Smart Bhojan Web App

🚀 Features

• Health Scoring Engine: Uses a custom algorithm to rate food from 0-10 (Super Food to Indulgent).
• Nutritional Visualization: Horizontal bar charts showing Protein, Carbs, and Fat content.
• Dynamic Search: Filter through dishes using the sidebar search and selection tools.
• PDF Report Generator: Export recipes and nutritional facts into a professionally formatted PDF with custom borders.
• Responsive UI: Custom CSS "Green Frame" design for a clean, modern aesthetic.

🛠️ Tech Stack

• Frontend: Streamlit
• Data Handling: Pandas
• Visualization: Matplotlib
• PDF Generation: ReportLab
• Styling: Custom CSS & HTML Injection

📂 Project Structure

├── app.py                # Main Streamlit application code
├── enriched_food_metadata_english.csv  # Food dataset (Names, Macros, Instructions)
├── images/               # Folder containing food images (e.g., Panner_Tikka.jpg)
└── README.md             # Project documentation

⚙️ Installation & Setup

1. Clone the repository:

   git clone https://github.com
   cd smart-bhojan

2. Install dependencies:

   pip install streamlit pandas matplotlib reportlab

3. Prepare your Data:

   • Ensure your enriched_food_metadata_english.csv includes columns: food_name, Protein (g), Carbs (g), Fat (g), Calories (kcal), and Instructions.
   • Place images in the images/ folder with names matching the food_name (e.g., samosa.jpg).

4. Run the App Locally:

   streamlit run app.py

💡 How it Works

The health score is calculated based on a weighted formula: Score = 6.0 + [(Protein * 2.5) - (Fat * 1.5) - (Calories / 100)] / 5 This rewards high protein content while penalizing excessive fats and empty calories.

Created by Srinivasta 🥗 🥘 🍱 🥞 🥙