An AI-powered interview preparation platform built using HTML, CSS, JavaScript, Bootstrap, Groq API, and LocalStorage. Intervexa-AI helps students prepare for placements through aptitude practice, coding challenges, AI-powered mock interviews, job search, profile analysis, and performance tracking.
🌐 Live Demo: https://kabishs.github.io/Intervexa-AI/
- 🔐 User Login & Authentication
- 🏠 Interactive Home Dashboard
- 🧠 Aptitude Practice
- 💻 Coding Practice
- 🤖 AI-Powered Mock Interview
- 💬 AI Interview Feedback
- 💼 Job Search
- 👤 Profile Analysis
- 📊 Performance Dashboard
- 📈 Aptitude, Coding & Interview Score Tracking
- 📝 Interview Preparation
- 💾 LocalStorage Data Persistence
- 📱 Fully Responsive Design
- ⚡ Interactive and User-Friendly UI
- 🔗 Social Media Integration
- HTML5 – Page Structure
- CSS3 – Styling and Responsive Design
- JavaScript (ES6) – Application Logic & Interactivity
- Bootstrap – Responsive UI Components
- Groq API – AI Interview Functionality
- LocalStorage – Client-Side Data Storage
- Web APIs – Browser-Based Features
- Git & GitHub – Version Control
- GitHub Pages – Deployment
Intervexa-AI/
│
├── index.html
├── aptitude.html
├── coding.html
├── interview.html
├── jobs.html
├── profile.html
│
├── CSS/
│ └── style.css
│
├── JS/
│ ├── aptitude.js
│ ├── coding.js
│ ├── interview.js
│ ├── jobs.js
│ └── profile.js
│
├── images/
│
└── README.md
This project provides an all-in-one platform for interview and placement preparation:
- 🤖 AI-Powered Interview Preparation
- 🧠 Aptitude Test Practice
- 💻 Coding Practice
- 💼 Job Opportunity Search
- 👤 Profile Analysis
- 📊 Performance Tracking
- 💾 Client-Side Data Storage
- 📱 Responsive Web Design
- ⚡ Interactive User Experience
The AI Interview module uses the Groq API to provide an interactive mock interview experience.
The system can:
- Generate interview questions
- Accept user answers
- Analyze responses
- Provide AI-generated feedback
- Help identify areas for improvement
- Support technical and HR interview preparation
This allows students to practice interviews in a realistic AI-powered environment.
Intervexa-AI uses Browser LocalStorage to store user-related data such as:
- Aptitude scores
- Coding scores
- Interview scores
- Job application history
- Profile information
- User progress
This allows data to remain available between browser sessions without requiring a backend database.
This project helped me strengthen my knowledge of:
- HTML5 & CSS3
- JavaScript DOM Manipulation
- Bootstrap
- API Integration
- Groq API Integration
- LocalStorage
- Responsive Web Design
- UI/UX Design
- Git & GitHub Workflow
- AI Application Development
- Frontend Project Architecture
- 🎙️ Voice-Based AI Interviews
- 📄 AI Resume Analysis
- 📊 Advanced Performance Analytics
- 🎯 Personalized Learning Roadmap
- 🧠 Adaptive Interview Questions
- ☁️ Cloud Database Integration
- 🔐 Secure User Authentication
- 📱 Progressive Web App Support
- 📝 Interview History & Reports
- 💻 GitHub: github.com/kabishS
- 💼 LinkedIn: linkedin.com/in/kabish
- 🧩 LeetCode: leetcode.com/u/kabish10
- 📷 Instagram: @itz._.kabish
Kabish S
Java Full Stack Developer | Frontend Developer | Manual QA Tester | AI Enthusiast
⭐ If you find Intervexa-AI useful, consider giving the repository a star!