Skip to content

The AI Interviewer Assistant (Ace-Interview) is an innovative GitHub repository designed to empower students and job seekers in their journey to excel in interviews. preparing for your first job interview or a seasoned professional aiming to ace your dream job interview, this project is here to assist you every step of the way.

Notifications You must be signed in to change notification settings

akhil368/ace-interview

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Ace-interview

Page-1

The AI Interviewer Assistant (Ace-Interview) is an innovative GitHub repository designed to empower students and job seekers in their journey to excel in interviews. preparing for your first job interview or a seasoned professional aiming to ace your dream job interview, this project is here to assist you every step of the way.

Key Features

Interview Simulator:-

Our platform allows users to practice for different types of interviews, such as MERN, Node, or Java, by engaging in realistic conversations with an AI interviewer. The AI will dynamically generate relevant questions based on the chosen interview type and adapt its tone and style to create a lifelike interview experience.

Page-2

Page-3

Personalized Feedback:-

After each interview simulation, the AI will analyze the student's responses and provide constructive feedback. This feedback will evaluate the content, delivery, and overall performance of the student's answers. It will identify strengths and suggest areas for improvement, including communication skills, technical knowledge, and problem-solving abilities.

Page-5

Performance Analytics:-

The platform tracks users' progress over time, presenting them with valuable insights into their interview preparation journey. Users can view success rates in different types of interviews, identify strengths and weaknesses, and monitor their improvement across multiple practice sessions.

Page-6

User-Friendly Interface:-

We have designed a user-friendly web interface that is intuitive, visually appealing, and easy to navigate. Users can focus on their interview preparation without facing any technical issues, ensuring a seamless experience.

Tech Stacks Used

Frontend:-

React with TypeScript: We chose React for its component-based architecture, which helps create a modular and scalable user interface. TypeScript adds static typing, enhancing code robustness and maintainability.

Tailwind CSS: Tailwind CSS provides a utility-first approach, making it easier to create consistent and responsive designs. It simplifies styling and allows us to maintain a visually appealing interface.

Backend:-

Java Spring Boot: Spring Boot offers a powerful and feature-rich framework for building Java-based web applications. It provides robust tools for handling backend functionalities.

AI Integration:-

We leverage the power of the OpenAI API to enable dynamic question generation and lifelike interactions with the AI interviewer. The OpenAI API helps us create engaging and intelligent conversations with users, enhancing their interview preparation experience.

Deploy Link:-

https://frontend-eight-chi-19.vercel.app/

Contributors

Abhishree Tripathi Github: https://github.com/Abhishree-codes

Tushar Deshmukh Github: https://github.com/deshmukh-tushar

Pravesh kumar sharma Github: https://github.com/chiku7296

Akhil Suryan Github: https://github.com/akhil368

Sudhist kumar Github: https://github.com/ersudhist

About

The AI Interviewer Assistant (Ace-Interview) is an innovative GitHub repository designed to empower students and job seekers in their journey to excel in interviews. preparing for your first job interview or a seasoned professional aiming to ace your dream job interview, this project is here to assist you every step of the way.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • TypeScript 73.5%
  • CSS 14.0%
  • Java 7.4%
  • HTML 3.5%
  • JavaScript 1.6%