Project Detail

NexHire (AI-Native Hiring Platform)

NexHire is an AI-native hiring platform designed to automate and optimize the end-to-end recruitment lifecycle. The platform combines Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent workflow automation to assist recruiters with sourcing, screening, interviewing, and hiring candidates. By integrating AI throughout the recruitment process, NexHire reduces manual effort, accelerates hiring decisions, and delivers a modern, scalable hiring experience for organizations.

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core capabilities

AI-powered Resume Parsing and Candidate Profile Extraction

Semantic Candidate Matching using LLMs and RAG over resumes and job descriptions

AI Resume Scoring and Candidate Ranking

Automated Interview Scheduling with Google Calendar Integration

AI-generated Recruitment Emails using Gmail Integration

Slack Integration for Real-time Hiring Notifications and Team Collaboration

Subscription Billing and Plan Management using Stripe

Role-Based Access Control (Admin, Recruiter, Hiring Manager)

JWT Authentication with Secure Session Management

Conversation History and AI Interview Assistant

Redis-based Caching and Background Task Processing

Cloud Deployment with Production-ready API Architecture

technologies used

Frontend React.js, TypeScript, Tailwind CSS

Backend FastAPI (Python)

Database PostgreSQL

Caching & Queue Redis

AI Frameworks LangChain, LangGraph

LLMs Ollama (Local Models) + Cloud LLM APIs

Vector Database FAISS / ChromaDB

Authentication JWT, OAuth 2.0

Integrations Google Calendar API, Gmail API, Slack API, Stripe API

Deployment Docker, Vercel, Cloudflare

focus areas

AI-native recruitment workflow powered by LLMs and Retrieval-Augmented Generation

Automating repetitive hiring tasks using intelligent AI agents

Enterprise-ready architecture with secure authentication and role-based access

Seamless integration with productivity and communication platforms

Scalable SaaS platform for modern recruitment teams

Privacy-focused architecture supporting both local and cloud AI models