Intelligent Application for Cold Email Generation: Business Outreach


Student Name: Dimple Galla
Defense Date:
Location: Eaton Hall, Room 2001B
Chair: David Johnson

Prasad Kulkarni

Dongjie Wang

Abstract:

Cold emailing remains an effective strategy for software service companies to improve organizational reach by acquiring clients. Generic emails often fail to get a response.
This project leverages Generative AI to automate the cold email generation. This project is built with the Llama-3.1 model and a Chroma vector database that supports the semantic search of keywords in the job description that matches the project portfolio links of software service companies. The application automatically extracts the technology related job openings for Fortune 500 companies. Users can either select from these extracted job postings or manually enter URL of a job posting, after which the system generates email and sends email upon approval. Advanced techniques like Chain-of-Thought Prompting and Few-Shot Learning were applied to improve the relevance making the email more responsive. This AI driven approach improves engagement and simplifies the business development process for software service companies.

Degree: MS Project Defense (CS)
Degree Type: MS Project Defense
Degree Field: Computer Science