Interview Agent

About Interview Agent

Launched Aug 05, 2025

Description

The AI-Powered Solution for Seamless Meeting Management

Built an AI-powered Interview Agent to automate end-to-end recruitment tasks including resume screening, interview scheduling, candidate interaction, and feedback collection. The frontend was developed using React, containerized with Docker, and deployed on AWS ECS. Backend services were built with FastAPI to manage CrewAI agents. Integrated GPT-4 for conversational flow and RAG for document intelligence using Chroma. Firebase Auth handled authentication with Firestore and GCS for data and file storage. Fully deployed via ECS Fargate with CI/CD and CloudWatch.

Interview Agent Key Features

FastAPI backend managing modular CrewAI agents
GPT-4 powered candidate conversations
RAG-based document understanding with Chroma
Firebase Auth and Firestore for secure user and data management
Fully containerized deployment on AWS ECS Fargate with CI/CD

Interview Agent Use Cases

Automating end-to-end recruitment workflows
Screening and shortlisting candidates with AI
Scheduling interviews and managing calendar invites

Pros

AI-powered automation streamlines recruitment processes such as resume screening and interview scheduling.
Uses advanced technologies like GPT-4 for conversational flow and RAG for document intelligence, enhancing interaction quality.
Comprehensive end-to-end solution that includes candidate interaction and feedback collection.
Utilizes modern tech stack and infrastructure (React, Docker, AWS ECS, FastAPI) ensuring robustness and scalability.
Seamless authentication and data storage integration with Firebase Auth, Firestore, and GCS.
CI/CD implementation ensures consistent updates and improvements to the system.
Positive user experiences highlighted by efficient meeting management and reduced manual effort in recruitment.

Cons

Potential dependency on multiple cloud services which might increase costs.
AI and automation processes may not fully capture the nuances of candidate interactions.
Integration complexity might lead to initial deployment challenges for organizations with less technical expertise.
Limited feedback on user interface and usability from end-users.
Reliance on cloud services raises concerns about data privacy and security.