For students navigating graduate school admissions, manually researching every professor's work and writing a personalized note does not scale beyond a handful of applications. Automating faculty research and email drafting lets applicants reach far more programs without sacrificing the personal touch that improves response rates. The result is a repeatable outreach process that turns a time-consuming, one-by-one task into something applicants can run across an entire target list, freeing hours for interview prep and application work.
AI/ML
Academic Email Generator
AI tool that scrapes faculty profiles and uses LangChain to generate personalized outreach emails for graduate applicants
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
Python
LangChain
OpenAI
BeautifulSoup
Process
How It Works
A closer look at the workflow behind the results.
1
Faculty Profile Scraping
BeautifulSoup scrapes faculty pages across university websites, collecting profile and publication data at scale.
2
Research Interest Extraction
Python parses each profile to identify a professor's research focus, isolating the details relevant to outreach.
3
Personalized Email Generation
LangChain drafts a personalized outreach email for each professor, tying the applicant's background to that professor's research focus.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Scraped and analyzed 1,500+ faculty profiles across multiple universities
Generated 3,000+ personalized outreach emails with AI-driven research alignment
Improved faculty response rates by 45% compared to generic email templates
Reduced manual research and email drafting time by 70% per application
Why It Matters
Business Impact
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