This application enables interviewers to conduct automated, AI-driven interviews using bots.
Candidates are evaluated based on their responses and assigned a score from 1 to 100, helping determine their eligibility for a role.

Key capabilities include:

• AI-powered interview bots
• Automated response analysis
• Weighted scoring based on topics and criteria
• Candidate ranking and evaluation
• Integrated frontend and backend architecture

The goal is to significantly reduce manual screening time while improving consistency and objectivity in candidate evaluation.

We are currently in the process of aiding companies as well, by allowing bots to filter bad candidates for the job (basically a first screening). As of 03/15/2026, we have been developing the authentication of interviewee and interviewer. The goal is to filter out candidates who do not posess the required skills for the job, saving time for the interviewer and allowing them to devote more time toward the employees who truly are capable of doing the job.

Here are the steps required to set this project up on your local machine.

• Node.js
• Package manager (npm / yarn / pnpm)
• Environment variables configured
• Database / external services access

1. In the terminal, type the command npm i to install all the libraries
2. Create a .env file, and create/insert the API keys necessary, following the .env.example template.
3. Type npm run dev in the terminal, and it should state: Server running on port (your port)
4. While creating a Supabase database table, it must follow this format (The column values are sample values, and are not necessary)

Table Name: Interview_Bots

RLS: Disabled(for testing purposes)