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FULL STACK / AI / WEBRTC

Evalyze AI Interview Platform

An AI-powered mock interview and career preparation platform designed to help users practice interviews, receive AI-generated feedback and explore relevant job opportunities.

React Node.js AI WebRTC REST API JavaScript
evalyze
$ npm run dev
Frontend development server started
$ node server.js
Backend API running
$ initialize interview
AI interview module initialized
$ connect --webrtc
Real-time communication established
01 / OVERVIEW

A platform for practical interview preparation.

Evalyze is a web-based platform designed around the interview preparation process. The project combines a frontend application, backend services, AI functionality and real-time communication.

The platform is designed to provide users with an environment where they can practice interviews instead of relying only on traditional question-and-answer preparation.

The project also includes a job-oriented component, connecting interview preparation with the broader process of finding opportunities.

02 / ARCHITECTURE

From browser to backend.

Evalyze is structured around a frontend application communicating with backend services. The architecture also provides a path for AI-powered interview functionality and real-time communication.

User Browser
→
React Frontend
→
Node.js Backend
→
AI Module Interview Processing
03 / TECHNOLOGY STACK

Technologies used in Evalyze.

01

React

Frontend framework used to build the interactive user interface.

Frontend Components UI
02

Node.js

Backend runtime used to build the server-side application and APIs.

Backend API JavaScript
03

AI Interview Module

AI functionality designed around automated interview interaction and feedback.

AI Interview Feedback
04

WebRTC

Real-time communication technology integrated into the platform.

Real-time Communication Browser
05

REST APIs

Application communication between the frontend and backend layers.

HTTP API Backend
06

JavaScript

Core programming language used across the application stack.

Logic Frontend Backend
04 / FEATURES

What Evalyze is designed to provide.

01

AI Mock Interviews

Users can practice interview scenarios through an AI-powered interview module.

02

Interview Feedback

The platform is designed to provide feedback that can help users identify areas for improvement.

03

Job Portal

Job-oriented functionality connects interview preparation with the search for employment opportunities.

04

Real-Time Communication

WebRTC provides a foundation for browser-based real-time communication.

05

Interactive Web Interface

React provides the frontend structure for creating an interactive experience across the platform.

05 / USER FLOW

From preparation to opportunity.

evalyze-flow.txt 
USER
  │
  ▼
Open Evalyze
  │
  ▼
Choose Interview
  │
  ▼
AI Interview Module
  │
  ├───────────────┐
  ▼               ▼
Questions       Responses
  │               │
  └───────┬───────┘
          ▼
     AI Processing
          │
          ▼
       Feedback
          │
          ▼
    Improve Skills
          │
          ▼
      Job Portal
          │
          ▼
      Opportunities
06 / DEVELOPMENT

Full-stack development experience.

UI

Frontend Development

Building reusable React components and structuring an interactive web application.

API

Backend Development

Building server-side functionality and communication between application components.

AI

AI Integration

Integrating AI functionality into an application focused on interview preparation.

RTC

Real-Time Systems

Working with WebRTC concepts for browser-based real-time communication.

07 / ENGINEERING CHALLENGES

Problems that shaped the project.

AREA 01

Frontend and backend communication

Structuring communication between the browser application and backend services.

AREA 02

AI integration

Designing the interview workflow so AI functionality fits naturally into the application.

AREA 03

Real-time communication

Understanding the requirements of browser-based real-time communication using WebRTC.

AREA 04

Application architecture

Connecting multiple application components into a single user workflow.

08 / WHAT I LEARNED

Building beyond individual technologies.

Evalyze provided experience with thinking about a software system as a collection of connected components rather than as an isolated application.

The project combines frontend development, backend services, AI functionality and real-time communication into one workflow.

It also provided practical exposure to the challenges involved in moving from an idea to a functioning web application.

Project direction

Continue improving the platform, strengthening its architecture and expanding its interview and career preparation capabilities.

END OF PROJECT

Build. Test. Improve.

Evalyze represents my experience building a full-stack application around a practical real-world problem.

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