Update README.md

README.md

@@ -9,5 +9,77 @@ app_file: app.py
 pinned: false
 license: apache-2.0
 ---
+# LabelWise: An AI-powered Food Label Analyzer
+
+[Visit the live app here!](https://deadshot2003-food-label-analyzer.hf.space)
+
+**LabelWise** is an intelligent tool that helps users make informed food choices by analyzing product labels based on their individual health profiles. By using cutting-edge AI, the app evaluates the nutritional content of products and provides users with a personalized health rating, helping them align their food consumption with their health goals.
+
+## Features
+
+- **User Registration and Profile Setup**: 
+  - Register by providing your name, email, password, age, height, weight (BMI auto-calculated), health conditions, allergies, activity level, food preferences, and health goals.
+  - Edit your profile anytime to ensure recommendations are always relevant.
+
+- **Login and Personal Dashboard**: 
+  - Secure login with email and password. Access your personalized dashboard with options to edit your profile, analyze products, and more.
+
+- **AI-Powered Label Analysis**: 
+  - Upload the back label of any product, and our AI model analyzes it against your health profile.
+  - Get instant feedback including a health rating based on nutritional data and your individual preferences.
+
+- **Database Recognition**: 
+  - If the product is already in our database, get instant access to its details.
+  - If it's new, answer two simple questions: product type and consumption frequency.
+
+- **Multilingual Support**: 
+  - Translate AI analysis into any world language and most Indian regional languages for easy comprehension.
+
+- **Health Ratings**: 
+  - Receive a personalized health rating for each product based on your profile and its nutritional content.
+
+- **Logout**: 
+  - Easily logout and secure your information when done.
+
+give the whole thing is a .md file format like install dependencies then enviorment setup, running the application
+
+
+ # LabelWise: Getting Started Guide
+
+
+
+## 1. Clone the Repository
+
+To get started, clone the LabelWise repository to your local machine:
+
+```sh
+git clone https://github.com/yourusername/LabelWise.git
+cd LabelWise
+```
+##2. Install Dependencies
+Ensure you have Python installed on your system. Then, install the required Python packages using pip:
+```sh
+pip install -r requirements.txt
+```
+3. Environment Setup
+LabelWise requires some environment variables to be set up for MongoDB Atlas and other API keys.
+
+Create a .env file in the root directory of your project. Add your MongoDB connection string and any other necessary secret keys to the .env file.
+
+Example .env file contents:
+
+```sh
+MONGODB_URI=your_mongodb_uri
+SECRET_KEY=your_secret_key
+```
+4. Running the Application
+Once you've completed the setup and installed all required dependencies, you can run the LabelWise application using Streamlit:
+
+```sh
+streamlit run app.py
+```
+This command will start the application and open it in your default web browser.
+
+Feel free to reach out if you have any questions or need further assistance.
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference