AI-Powered Recruitment Platform (ATS)
Pluto ATS Project was developed to solve the manual screening bottleneck. By combining the speed of Groq's Llama inference with the stability of a Next.js/SQLite architecture, this tool reduces screening time by over 90% while improving recruitment accuracy through semantic AI analysis.
AI Resume Parsing
Uses Llama 3.3 to extract structured JSON data from PDF/Word resumes with human-level accuracy.
Intelligent Scoring
Calculates a Match Score (0-100%) by comparing candidate skills against specific job requirements.
Multi-Format Support
Integrated support for complex document layouts via specialized PDF and DOCX parsers.
Admin Insights
Categorizes applicants automatically into Top, Fair, and Low matches for faster screening.
Background Processing
Asynchronous worker patterns handle intensive AI tasks without slowing down the user interface.
Dynamic Logic
Supports complex job requirements including specific certifications, location, and demographic needs.
Inside the System
