Find Recruiter

🧠 Inspiration

Finding the right recruiter or hiring manager is often the most frustrating part of applying for jobs and internships. Students spend hours searching LinkedIn, browsing company pages, guessing email patterns, or scrolling through outdated information. I personally struggled with this, and I saw the same frustration among many of my friends.

This inspired me to build Find Recruiter, a simple tool that helps job seekers instantly discover publicly available recruiter and HR contacts for any company.
Many of my friends used this tool and was able to reach recruiters faster, which eventually helped them secure internship opportunities. That impact motivated me even more to refine and ship this project.

🔍 What it does

Find Recruiter allows users to:

🔎 Search any company and get recruiter/HR/hiring manager profiles
📄 Upload a resume to get recruiter recommendations aligned with their skills
🌐 Fetch real, publicly available information from the web using Google Custom Search
⚡ Provide accurate results using keyword and role-based filtering
💾 Cache previously searched companies for faster performance

The goal is simple:
Make job outreach easier, faster, and more effective for everyone.

🛠️ How we built it

Backend (Python + Flask)

Built REST APIs for:
- Company-based recruiter search
- Resume parsing & recruiter matching
Integrated with Google Custom Search API
Implemented logic to filter relevant recruiter profiles
Created caching using company_cache.json
Added PDF/DOCX resume extraction and keyword matching

Frontend (React)

A clean, minimal UI for:
- Searching companies
- Uploading resumes
- Viewing recruiter results
Responsive and optimized for fast feedback

Using Kiro Vibe Coding Editor

I used Kiro Vibe heavily throughout development:

AI-assisted code generation for Flask routes & React components
Debugging hints for API calls and parsing issues
Cleaner architecture suggestions and faster iterations
Helped me quickly test and refine search logic

Kiro Vibe made coding smoother by reducing repetitive tasks and giving clear feedback while building the project.

⚠️ Challenges we ran into

Unstructured web data:
Recruiter info appears in many different formats, making parsing tricky.
False positives:
Not every HR-related webpage contains real or useful contact details.
I built heuristics to filter out noise.
API rate limits:
Google’s API limits required caching to avoid unnecessary hits.
Resume parsing:
Extracting text reliably from PDFs/DOCX files required testing multiple libraries and fallback methods.
Maintaining speed:
Ensuring quick results even with external API calls took optimization.

🏆 Accomplishments that we're proud of

Built a useful tool that actually helps job seekers
Successfully implemented resume-based recruiter matching
Created an accurate filtering system to clean noisy web results
Optimized API usage with caching
Used Kiro Vibe to accelerate development and improve code design
Helped a friend secure internship opportunities, the most meaningful outcome of this project