At Sayaji Infotech, we are committed to building transformative technology solutions that redefine industries. Recently, we implemented an intelligent resume scanning and candidate matching system for SearchEnds, delivering a cutting-edge recruitment platform powered by automation, AI, and semantic search.

Key Features of the Resume Scanning System

1. Automated Resume Processing

Our system efficiently processes large volumes of PDF resumes from a designated folder. A scheduler automatically scans and analyzes the resumes, saving valuable time for HR teams and ensuring no potential candidate is overlooked.

2. AI-Powered Data Extraction

By integrating Gemini AI, the system intelligently extracts critical information from diverse resume formats. It transforms unstructured data into a standardized schema capturing names, skills, experience, and other relevant details, ensuring consistent evaluation criteria across candidates.

3. Advanced Semantic Search Capabilities

The platform leverages OpenSearch to provide powerful semantic search functionality. This enables hiring managers to find candidates whose experience and skills align closely with job requirements, going beyond basic keyword matching.

4. Comprehensive Database Management

All extracted data is structured into a consistent JSON format and stored in an OpenSearch database. This architecture ensures fast retrieval, efficient filtering, and accurate ranking of candidates based on relevance.

5. Intuitive User Interface for Analysis

A custom-built React frontend displays detailed insights and analytics. The user-friendly interface empowers hiring managers to define search criteria, view comprehensive candidate profiles, and make informed decisions.

Impact Delivered

Our solution enabled:

• Enhanced Efficiency: Dramatically reduced resume screening time through automation.
• Improved Accuracy: Increased precision in candidate matching with AI-powered semantic search.
• Seamless Collaboration: Facilitated better team collaboration through save, share, and edit functionalities.

Our Technical Approach

1. Frappe Backend: We built a powerful and scalable backend on the Frappe framework.
2. React Frontend: Developed a responsive and intuitive frontend using React.js.
3. Gemini AI Integration: Used advanced AI to extract structured data from unstructured resume files.
4. OpenSearch Database: Enabled context-aware candidate searches with semantic capabilities.

A Glimpse into the Application

The web dashboard brings everything together with:

• Dynamic Search Forms: Define custom candidate search criteria with ease.
• Intelligent Result Ranking: Automatically rank candidates based on match scores.
• Comprehensive Candidate Profiles: Clearly presented resume data for fast review.
• User-Centric Design: Built for simplicity and speed, making it accessible for all HR users.

Technical Overview

Architecture Diagram

The system’s architecture is designed for high performance and scalability:

• Backend: Built with the Frappe Framework for robust data management.
• Frontend: Developed using React.js for a seamless user experience.
• AI Processing: Powered by Gemini AI for intelligent data extraction.
• Database: Uses OpenSearch for advanced semantic search and indexing.

Data Processing Flow

1. Resumes uploaded to a specified folder.
2. Scheduler triggers automated scanning.
3. Gemini AI extracts structured data from resumes.
4. Data transformed into standardized JSON documents.
5. Documents indexed into OpenSearch.
6. HR managers search, filter, and rank candidates via the frontend dashboard.

Conclusion

This project, implemented for SearchEnds, showcases how Sayaji Infotech harnesses technology to transform traditional recruitment processes. Through the integration of automated resume processing, AI-powered data extraction, and semantic search, we have delivered a solution that enhances both the efficiency and accuracy of candidate selection. We continue to innovate, driving operational excellence for our partners across industries.