InterviewPilot

InterviewPilot is a smart, high-performance recruitment platform that modernizes hiring through AI-powered resume screening and intelligent candidate evaluation.

Project Overview

InterviewPilot revolutionizes the recruitment process by leveraging cutting-edge AI technology and memory-safe architecture. Built on a robust Rust backend combined with a modern React/TypeScript frontend, the platform delivers exceptional speed, reliability, and security in handling sensitive candidate data. The system integrates seamlessly with the Gemini API to provide blazing-fast resume analysis, automated candidate screening, and intelligent evaluation metrics. With streamlined interview scheduling, live integration support, and secure role-based access for recruiters and admins, InterviewPilot transforms traditional hiring workflows into an efficient, data-driven process that helps organizations identify top talent faster and more accurately than ever before.

Objective

The primary objective of InterviewPilot is to eliminate inefficiencies in traditional recruitment workflows by automating time-consuming tasks such as resume parsing, candidate shortlisting, and initial screening. The platform aims to reduce hiring time by up to 70% while improving candidate quality through AI-driven insights and scoring mechanisms. By implementing memory-safe Rust architecture, the system ensures zero-downtime operations and protects sensitive candidate information with enterprise-grade security. The platform is designed to scale seamlessly from small startups to large enterprises, providing role-based dashboards for recruiters, hiring managers, and administrators. Additional goals include real-time collaboration features, comprehensive analytics for hiring metrics, and integration capabilities with existing HR systems and ATS platforms.

Challenges

Implementing memory-safe concurrent operations for handling thousands of simultaneous resume uploads and AI processing requests
Optimizing Gemini API integration to achieve sub-second response times for candidate evaluation while managing API rate limits and costs
Designing a zero-trust security architecture with role-based access control (RBAC) to protect sensitive candidate PII and comply with GDPR/CCPA
Building real-time WebSocket infrastructure for live interview scheduling updates and collaborative candidate review sessions
Creating an intuitive UX that simplifies complex AI-driven insights for non-technical recruiters while maintaining power-user capabilities