Problem
Recruiters spend too much time screening resumes, preparing interviews, and converting conversations into structured insights.
Case Study
IntelliHire AI - Autonomous Recruitment & Interview Intelligence Platform
LLM-powered interview automation with adaptive questioning, candidate evaluation, and recruiter-ready analytics.
Business Impact
Reduces repetitive screening work and gives hiring teams a faster way to compare candidates.
Generative AILLM EngineeringBackend SystemsWorkflow AutomationRecruitment Intelligence
Solution
Built an LLM-powered interview workflow that creates adaptive questions, evaluates answers, and produces recruiter-ready analytics.
Business Impact
Reduces repetitive screening work and gives hiring teams a faster way to compare candidates.
Delivery Notes
What this proves for a client project.
The goal is not to copy this exact product. It is to show the kind of product thinking, backend structure, AI workflow, and shipping discipline that can transfer to your business.
Developed AI-powered interview engine with resume-aware and job-description-aware adaptive questioning
Built end-to-end recruitment workflow covering candidate onboarding, interviews, evaluation, and reporting
Implemented automated recruiter scoring and structured performance analytics using LLM-based evaluation
Integrated speech processing and conversational AI workflows for interactive interview experiences
Designed scalable backend APIs and database workflows for recruiter and candidate management
Technology Stack
Tools used after the business case was clear.
PythonFlaskLangChainGemini APIMySQLSQLAlchemyVosk
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