The client is a recruitment agency/HR team who are looking to streamline their hiring process through automation. They needed a system that could efficiently screen and rank candidates based on job requirements, reducing dependency on manual effort. With a high volume of incoming resumes, the existing process of manually reviewing profiles was time-consuming and inefficient. The goal was to build an intelligent platform that could automate candidate sourcing, analysis, and shortlisting, enabling faster and more accurate hiring decisions.
Manual Candidate Sourcing: Recruiters spent hours searching LinkedIn and downloading resumes manually.
Inconsistent Data Collection: Candidate information from LinkedIn profiles were not structured or standardized.
Time-Consuming Analysis: Each profile and resume had to be reviewed manually, slowing down the hiring process.
Authentication Complexity: Managing LinkedIn OAuth for multiple recruiter accounts was difficult.
Data Integration Issues: Combining LinkedIn data with uploaded resumes created inconsistencies.
Scalability Limitations: The system could not handle large volumes of candidates during peak hiring periods.
Resume Handling: Uploads with PDF text extraction for structured candidate data.
AI Matching: Advanced embeddings to match candidates to job requirements accurately.
LinkedIn Integration: OAuth authentication for secure, seamless access to profiles.
Smart Storage: Vector database for efficient resume storage and retrieval.
Candidate Sourcing: Web scraping with Selenium and BeautifulSoup to gather profiles automatically.
Interview Scheduling: Google Meet integration for smooth interview coordination.
Automated Resume Collection: Email functionality to capture all resumes from LinkedIn job posting.
Job Posting Automation: Streamlined posting workflow to reduce manual effort and ensure consistency.
Automates HR tasks like recruitment.
Collects candidate data automatically.
Syncs job posts across platforms.
Creates codes for scheduling interviews.
Centralizes hiring activities in one place.
Optimizes job postings for clarity.
Access the platform securely.
Add your company ID and details.
Buy credits for job postings.

Fill in job details quickly.
Post jobs to multiple platforms.
Monitor candidates from a single dashboard.

Flask

OpenAI API, Google Gemini 1.5 Flash

MongoDB, ChromaDB

JWT, LinkedIn OAuth 2.0

SocketIO

PyPDF2, Celery
AI ranks candidates based on skills and experience.
Extracts structured data from PDFs efficiently.
AI improves clarity and engagement of postings.
Automatically coordinates meetings via Google Meet.

Specialized in AI Development
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