MatchMail

Document Type

Abstract

Publication Date

Fall 12-1-2024

Abstract

MatchMail is an advanced software solution designed to streamline and automate the process of connecting students with recruiters. This application addresses the common challenges students face during their job search, particularly the time-consuming task of crafting personalized emails to recruiters. MatchMail automates this process by generating customized emails that align with job descriptions, the student’s qualifications, and the recruiter’s preferences. By leveraging the power of AI and intelligent data scraping, MatchMail enables students to efficiently create tailored messages that capture recruiters’ attention and facilitate meaningful professional connections. MatchMail’s core functionality lies in its ability to analyze job descriptions and the student’s expertise, utilizing these insights to generate personalized email content. Additionally, the software uses Proxycurl to scrape LinkedIn and X (formerly Twitter) for recruiter information, ensuring that each email is highly targeted. The result is a powerful tool that simplifies the job application process, making it easier for students to connect with potential employers. MatchMail is built with a robust technology stack, including React for the front-end, Golang for the backend server, and a combination of PostgreSQL and MongoDB for data storage. The system’s performance is further enhanced by integrating Redis and gRPC, while the AI-powered content generation is driven by the ChatGPT 3.5 Turbo API and Langchain. This combination of technologies ensures that MatchMail is not only efficient but also scalable, capable of handling the complex needs of job seekers in today’s competitive market.

Comments

Completed as part of the Computer Science Senior Capstone Project.

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