Cold Emailer is a web application that generates personalized cold emails for students to send to professors based on their research interests.

• Scrapes professor data from universities
• Stores professor information in a vector database for efficient searching
• Generates personalized cold emails using AI
• Web interface for user input and email generation

1. Clone the repository:

   git clone 
   cd cold-emailer
   

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Set up environment variables: Create a .env file in the root directory and add the following:

   OPENAI_API_KEY=your_openai_api_key
   GROQ_API_KEY=your_groq_api_key
   

1. Start the FastAPI server:

   uvicorn src.app:app --reload
   

2. CD into the cold-emailer directory

3. Open a web browser and navigate to http://localhost:8000

4. Fill out the form with your name, research interests, and achievements

5. Click "Generate Email" to receive a personalized cold email