Codei vs GetSelected.ai Detailed comparison features, price

Codei

Codei revolutionizes technical interview preparation with a comprehensive AI-powered platform designed specifically for software engineers. The platform streamlines the job application process by automatically tracking applications and extracting relevant data from job descriptions using its ApplicationAI model.

Through its advanced QuestionAI and EvalAI models, Codei generates role-specific technical interview questions and provides detailed code evaluation feedback, helping candidates improve their coding skills and interview readiness. The platform's integrated approach combines application management, skill development, and performance assessment to maximize candidates' chances of success.

GetSelected.ai

GetSelected.ai offers a comprehensive AI-powered mock interview platform designed to help candidates prepare effectively for job interviews. The platform combines personalized practice sessions with detailed feedback mechanisms, allowing users to simulate various interview stages and improve their performance systematically.

The platform features advanced capabilities including customizable interview scenarios, AI-driven MCQ quizzes, resume optimization, and a specialized code compiler for technical roles. Users can access behavioral and technical practice questions, receive structured STAR format feedback, and track their progress over time.

Codei

Pricing

Freemium

GetSelected.ai

Pricing

Freemium

Codei

Features

Application Tracking: Automated job application management with AI-powered data extraction
Question Generation: Role-specific technical interview questions tailored to individual candidates
Code Evaluation: Automated assessment of GitHub submissions with detailed feedback
Skills Analysis: Insights and data about job roles and required competencies
Portfolio Development: Structured approach to building coding portfolios through practice

GetSelected.ai

Features

Personalized Practice: Tailored interview questions based on job descriptions
STAR Format Feedback: Detailed analysis and improvement suggestions
AI Code Compiler: Technical interview preparation with live coding capability
Resume Optimization: AI-powered resume building and enhancement
Custom MCQ Quizzes: Create and practice with personalized question sets
Progress Tracking: Monitor skill development over time
Multiple Interview Stages: Practice from initial rounds to final negotiations

Codei

Use cases

Technical interview preparation
Job application management
Coding skills assessment
Career development tracking
Portfolio building
Interview question practice

GetSelected.ai

Use cases

Technical interview preparation for IT professionals
Behavioral interview practice for any role
Resume enhancement and optimization
Programming skill assessment and practice
Step-by-step interview process simulation
Customized quiz creation for specific job roles

Codei

FAQs

How does Codei evaluate code submissions?

Codei evaluates code submissions through its EvalAI model by analyzing GitHub repository links, providing feedback on coding skills and style improvements.

What information does Codei extract from job descriptions?

Codei's ApplicationAI model extracts relevant data from job description URLs to provide insights and information about the role automatically.

How are technical interview questions generated?

Codei's QuestionAI model generates technical interview questions specifically tailored to both the candidate and the role they are applying for.

GetSelected.ai

FAQs

What is the STAR format feedback?

The platform provides detailed feedback using the STAR (Situation, Task, Action, Result) format to help users track their skills development and identify specific areas for improvement in their interview responses.

How does the AI Code Compiler feature work?

The AI Code Compiler activates automatically for IT-related roles when programming is mentioned in the interview setup, allowing users to write and execute code directly on-screen during practice sessions.

Can I customize my mock interviews?

Yes, users can customize their mock interviews by selecting specific job positions, adding new roles if not listed, and simulating different interview stages from initial rounds to final negotiations.