SensAI - AI Career Coach 🚀This is a Next.js project bootstrapped with `create-next-app`.

## Getting Started

First, run the development server:

```bash

npm run dev

Your intelligent AI-powered career development platform that helps you advance your professional journey with personalized insights, resume building, interview preparation, and more.# or

yarn dev

---# or

pnpm dev

📋 Table of Contents# or

bun dev

Overview``
Features
Tech StackOpen http://localhost:3000 with your browser to see the result.
Getting Started
Environment VariablesYou can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.
Database Setup
Project StructureThis project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Key Features Explained
API Routes## Learn More
Contributing
LicenseTo learn more about Next.js, take a look at the following resources:

---- Next.js Documentation - learn about Next.js features and API.

Learn Next.js - an interactive Next.js tutorial.

🌟 Overview:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

SensAI is an AI-powered career development platform designed to help professionals accelerate their career growth. It combines cutting-edge AI technology with industry-specific insights to provide personalized career guidance, intelligent resume building, adaptive interview preparation, and AI-generated cover letters..

Deploy on Vercel:

Why SensAI?

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

🎯 Personalized: Tailored to your industry, experience level, and career goals
🤖 AI-Powered: Leverages Google's Gemini AI for intelligent content generationCheck out our Next.js deployment documentation for more details.
📊 Data-Driven: Provides industry insights, salary trends, and market analysis
🎨 Modern UI: Clean, responsive interface built with Next.js 15 and Tailwind CSS
🔒 Secure: Enterprise-grade authentication with Clerk

✨ Features

🎯 Core Features

Intelligent Resume Builder
- Form-based and Markdown editor modes
- Real-time preview
- PDF export functionality
- Auto-save capabilities
AI Cover Letter Generator
- Job-specific cover letters
- Industry-tailored content
- Editable markdown output
- Multiple cover letter management
Adaptive Interview Preparation
- AI-generated interview questions
- Performance tracking and analytics
- Industry-specific question sets
- Progress monitoring with charts
Industry Insights Dashboard
- Real-time salary data
- Market trends analysis
- Growth rate indicators
- In-demand skills tracking
Personalized Onboarding
- Industry selection
- Skills assessment
- Experience level configuration
- Professional bio creation

🛠 Tech Stack:

Frontend

Next.js 15.5.6 - React framework with App Router
React 19 - UI library
Tailwind CSS - Utility-first CSS framework
Shadcn/ui - Re-usable component library
MDEditor - Markdown editor for resumes/cover letters
Recharts - Data visualization
React Hook Form - Form management
Zod - Schema validation

Backend:

Next.js Server Actions - Server-side API handlers
Prisma ORM - Database toolkit
PostgreSQL - Primary database (Neon)
Clerk - Authentication & user management

AI & External Services:

Google Gemini AI - Content generation
Inngest - Background job processing
html2pdf.js - PDF generation

Developer Tools

ESLint - Code linting
PostCSS - CSS processing
Turbopack - Fast bundler

🚀 Getting Started

Prerequisites

Node.js 18+ installed
PostgreSQL database (or Neon account)
Clerk account for authentication
Google Gemini API key

Installation:

Clone the repository

git clone https://github.com/yourusername/sensai.git
cd sensai

Install dependencies
```
npm install
```

Set up environment variables

Create a .env file in the root directory:

# Database
DATABASE_URL="postgresql://user:password@host:5432/sensai?sslmode=require"

# Clerk Authentication
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLERK_SECRET_KEY=your_clerk_secret_key
NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in
NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up
NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=/onboarding
NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=/onboarding

# Google Gemini AI
GEMINI_API_KEY=your_gemini_api_key

# Inngest (optional for background jobs)
INNGEST_EVENT_KEY=your_inngest_event_key
INNGEST_SIGNING_KEY=your_inngest_signing_key

Set up the database

npx prisma generate
npx prisma migrate dev --name init

Run the development server
```
npm run dev
```
Open your browser

Navigate to http://localhost:3000

🔐 Environment Variables:

Variable	Description	Required
`DATABASE_URL`	PostgreSQL connection string	✅
`NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY`	Clerk publishable key	✅
`CLERK_SECRET_KEY`	Clerk secret key	✅
`GEMINI_API_KEY`	Google Gemini AI API key	✅
`NEXT_PUBLIC_CLERK_SIGN_IN_URL`	Sign-in page URL	✅
`NEXT_PUBLIC_CLERK_SIGN_UP_URL`	Sign-up page URL	✅
`NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL`	Redirect after sign-in	✅
`INNGEST_EVENT_KEY`	Inngest event key	⚪
`INNGEST_SIGNING_KEY`	Inngest signing key	⚪

💾 Database Setup

Using Neon (Recommended)

Create a free account at Neon
Create a new project
Copy the connection string
Add it to your .env file as DATABASE_URL

Using Local PostgreSQL

Install PostgreSQL locally
Create a database:
```
CREATE DATABASE sensai;
```

Update the DATABASE_URL in .env:

DATABASE_URL="postgresql://postgres:password@localhost:5432/sensai"

Database Schema:

The project uses Prisma with the following main models:

User - User profiles with industry and experience data
Assessment - Interview quiz results and scores
Resume - Resume content and metadata
CoverLetter - AI-generated cover letters
IndustryInsight - Industry trends and salary data

📁 Project Structure

sensai/
├── actions/              # Server actions
│   ├── cover-letter.js
│   ├── dashboard.js
│   ├── interview.js
│   ├── resume.js
│   └── user.js
├── app/                  # Next.js app directory
│   ├── (auth)/          # Authentication routes
│   │   ├── sign-in/
│   │   └── sign-up/
│   ├── (main)/          # Main application routes
│   │   ├── dashboard/
│   │   ├── onboarding/
│   │   ├── resume/
│   │   ├── ai-cover-letter/
│   │   └── interview/
│   ├── api/             # API routes
│   ├── lib/             # Utilities and helpers
│   ├── globals.css
│   └── layout.js
├── components/          # React components
│   ├── ui/             # Shadcn UI components
│   ├── header.jsx
│   └── hero.jsx
├── data/               # Static data
├── hooks/              # Custom React hooks
├── lib/                # Shared utilities
├── prisma/             # Database schema
│   ├── schema.prisma
│   └── migrations/
├── public/             # Static assets
├── .env               # Environment variables
├── package.json
└── README.md

🎨 Key Features Explained

1. Onboarding Flow

New users go through a personalized onboarding process:

Select industry and specialization
Input years of experience
Add professional skills
Write a brief bio

This information is used to personalize all AI-generated content.

2. Resume Builder

Two Editing Modes:

Form Mode: Structured form with sections for contact info, summary, skills, experience, education, and projects
Markdown Mode: Direct markdown editing with live preview

Features:

Real-time preview updates
PDF export with custom formatting
Auto-save functionality
Markdown syntax support

3. Cover Letter Generator

Workflow:

Enter job title, company name, and job description
AI generates a tailored cover letter based on your profile
Edit the generated content in markdown
Save or export as needed

4. Interview Preparation:

Features:

AI-generated interview questions based on your industry
Multiple-choice quiz format
Performance tracking and analytics
Progress charts showing improvement over time
Industry-specific question categories

5. Dashboard Insights

Real-time data visualization showing:

Industry salary ranges by role
Market growth rates
Demand levels (High/Medium/Low)
Top skills in your industry
Recommended skills to learn
Career outlook trends

🔌 API Routes:

Server Actions:

All API interactions use Next.js Server Actions:

updateUser(data) - Update user profile
generateCoverLetter(data) - Generate AI cover letter
saveResume(content) - Save resume content
generateAIInsights(industry) - Get industry insights
getIndustryInsights() - Fetch saved insights

Inngest Background Jobs:

Weekly industry insights updates
Automated data refresh
AI content generation queues

🎯 Usage Examples

Creating a Resume

// Navigate to /resume
// Fill in the form or use markdown editor
// Preview in real-time
// Click "Save" to persist
// Click "Download PDF" to export

Generating a Cover Letter

// Navigate to /ai-cover-letter/new
// Enter job details
// AI generates personalized content
// Edit and save

Taking Mock Interviews

// Navigate to /interview/mock
// Select quiz category
// Answer questions
// View detailed results and tips

🤝 Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

Code Style

Follow ESLint rules
Use Prettier for formatting
Write meaningful commit messages
Add comments for complex logic

👨‍💻 Author:

Md Ashad

GitHub: @yourusername

🙏 Acknowledgments

Next.js - The React Framework
Clerk - Authentication
Prisma - Database ORM
Shadcn/ui - Component Library
Google Gemini - AI Generation
Neon - Serverless PostgreSQL

📞 Support

For support, email support@sensai.com or open an issue on GitHub.

🗺 Roadmap:

Made with ❤️ by Md Ashad

⭐ Star this repo if you find it helpful!

Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
actions		actions
app		app
components		components
data		data
hooks		hooks
lib		lib
prisma		prisma
public		public
.gitignore		.gitignore
README.md		README.md
components.json		components.json
eslint.config.mjs		eslint.config.mjs
jsconfig.json		jsconfig.json
middleware.js		middleware.js
next.config.mjs		next.config.mjs
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs

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SensAI - AI Career Coach 🚀This is a Next.js project bootstrapped with create-next-app.

📋 Table of Contents# or

🌟 Overview:

Deploy on Vercel:

Why SensAI?

✨ Features

🎯 Core Features

🛠 Tech Stack:

Frontend

Backend:

AI & External Services:

Developer Tools

🚀 Getting Started

Prerequisites

Installation:

🔐 Environment Variables:

💾 Database Setup

Using Neon (Recommended)

Using Local PostgreSQL

Database Schema:

📁 Project Structure

🎨 Key Features Explained

1. Onboarding Flow

2. Resume Builder

3. Cover Letter Generator

4. Interview Preparation:

5. Dashboard Insights

🔌 API Routes:

Server Actions:

Inngest Background Jobs:

🎯 Usage Examples

Creating a Resume

Generating a Cover Letter

Taking Mock Interviews

🤝 Contributing

Code Style

👨‍💻 Author:

🙏 Acknowledgments

📞 Support

🗺 Roadmap:

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SensAI - AI Career Coach 🚀This is a Next.js project bootstrapped with `create-next-app`.

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