Baking Personalization System

A hyper-personalization system for banking enthusiasts that provides personalized banking tips, and techniques using advanced AI models.

Features

• Personalized banking product recommendations based on user preferences
• Banking technique suggestions
• Feedback based recommendation
• Interactive user interface

Setup

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

streamlit run app.py

Project Structure

• app.py: Main Streamlit application
• models/: Directory for storing model files
• data/: Directory for storing recipe and user data
• utils/: Utility functions for data processing and model inference

Technologies Used

• Streamlit for the web interface
• Hugging Face Transformers for natural language processing
• Sentence Transformers for semantic similarity
• Pandas and NumPy for data manipulation
• Scikit-learn for machine learning utilities