Cold Email Generator

About

I built this project to understand how AI can be used to generate professional cold emails. The application takes user input and generates a personalized email using Llama 3.1. It also uses ChromaDB to store and retrieve information, while Streamlit provides a simple interface to interact with the application.

Features

• Generate personalized cold emails
• Uses Llama 3.1 for text generation
• Fast response using the Groq API
• Stores data with ChromaDB
• Simple Streamlit interface

Technologies Used

• Python
• Streamlit
• Llama 3.1
• Groq API
• ChromaDB
• LangChain

How to Run

1. Clone this repository.
2. Install the required libraries. pip install -r requirements.txt
3. Add your Groq API key to a .env file. GROQ_API_KEY=your_api_key
4. Run the project. streamlit run app.py

What I Learned

While building this project, I got to know how LLMs work in a real application. I also learned how to use the Groq API, work with ChromaDB, and build an interactive interface using Streamlit. It gave me a better understanding of how different tools can be combined to build an AI application.

Future Improvements

• Add more email templates
• Save generated emails
• Improve the user interface
• Add more customization options

Screenshot

Author

Sakshi Yadav BTech CSE(3rd year)