🚀 AchiVAI — AI Resume Enhancer

Beat the ATS. Get hired faster.

An AI-powered SaaS that analyzes your resume against job descriptions, gives you an ATS compatibility score, finds missing keywords, and helps you land more interviews.

🌐 Live at: https://arcivai.vercel.app

✨ Features

🧠 AI-Powered Resume Analysis

Upload your resume as PDF or DOCX
Paste any job description to match against
Get an instant ATS compatibility score out of 100
See matched and missing keywords at a glance
Receive section-by-section feedback (Summary, Skills, Experience, Education)
Powered by Google Gemini 3.6 Flash

📝 Resume Builder

Build resumes from scratch using a structured form
Choose from multiple ATS-friendly templates (Classic, Modern)
Live preview of your resume as you type
One-click PDF export — print-ready and ATS-safe
Resumes auto-saved to your account

🔐 Authentication

Google OAuth sign-in via Supabase
Email/password sign-up and login
Magic link (passwordless) login
Password reset via email
Session management with secure HTTP-only cookies

💳 Monetization

Free Plan: 2 AI analyses per month, all templates, unlimited PDF downloads
Premium Plan (₹499 one-time): Unlimited AI analyses, all features, priority support
Seamless Razorpay payment integration with webhook verification
Per-user quota tracking with usage_events table

⚡ Performance & SEO

Server-side rendering with Next.js App Router
Full Schema.org structured data (SoftwareApplication, FAQ, Organization)
Open Graph & Twitter Card metadata
Sitemap + robots.txt auto-generated
Optimized fonts: Geist Sans, Geist Mono, Josefin Sans

🛠️ Tech Stack

Layer	Technology
Framework	Next.js 16 (App Router, Webpack)
UI	React 19, Tailwind CSS v4, Framer Motion
Icons	Lucide React
AI	Google Gemini 3.6 Flash (`@google/generative-ai`)
Auth & DB	Supabase (PostgreSQL + Row Level Security)
Payments	Razorpay (order creation + webhook verification)
PDF Parsing	`pdf-parse` + `pdfjs-dist`, `mammoth` (DOCX)
PDF Export	`jspdf` + `html2canvas`
State	Zustand
Deployment	Vercel

📁 Project Structure

ai_resume/
├── public/
│   ├── images/              # Static assets (bg, logos)
│   └── template-previews/   # Resume template preview images
├── scripts/
│   └── supabase.sql         # Full DB schema for Supabase
├── src/
│   ├── app/
│   │   ├── _component/      # Shared UI (Navbar, Footer, Hero, FAQ, Plans...)
│   │   ├── analysis/        # AI analysis results page
│   │   ├── api/
│   │   │   ├── analyze-resume/   # Core AI analysis endpoint (POST)
│   │   │   ├── razorpay/         # Payment routes (create-order, verify, webhook)
│   │   │   └── user/             # User plan API
│   │   ├── auth/callback/   # Supabase OAuth callback handler
│   │   ├── dashboard/       # User saved resumes dashboard
│   │   ├── login/           # Auth page (Google, email, magic link)
│   │   ├── pricing/         # Pricing page + Razorpay checkout
│   │   └── template/        # Resume builder (template list + [id] editor)
│   ├── components/
│   │   ├── Editor/          # ResumeForm — structured input form
│   │   ├── PDFTemplates/    # PDF-specific template renderer
│   │   └── ResumeRenderers/ # Classic & Modern live preview templates
│   ├── data/                # Universities dataset
│   ├── lib/
│   │   ├── fileParsers.js     # PDF/DOCX text extraction
│   │   ├── prompt.js          # Gemini AI prompt builder
│   │   ├── razorpayServer.js  # Razorpay server utils + quota config
│   │   ├── resumeService.js   # Supabase resume CRUD operations
│   │   ├── supabase.js        # Client-side Supabase client
│   │   ├── supabaseAdmin.js   # Admin Supabase client (service role key)
│   │   └── supabaseServer.js  # Server-side Supabase client (SSR cookies)
│   ├── middleware.js          # Edge auth guard + route protection
│   ├── store/
│   │   └── resumeStore.js     # Zustand global state for resume data
│   └── templates/             # Resume JSON schemas (classic, modern)
├── next.config.mjs
└── package.json

🗄️ Database Schema

The full schema is in scripts/supabase.sql. Run it once in your Supabase SQL Editor.

Table	Purpose
`profiles`	User profile — synced from `auth.users` via DB trigger on signup
`resumes`	Stores resume JSON data with template name & unique share token
`subscriptions`	Tracks user plan (`free` / `premium`) and Razorpay subscription ID
`usage_events`	Per-user AI analysis count for enforcing the free monthly quota

All tables have Row Level Security (RLS) enabled — users can only read/write their own rows.

🚀 Getting Started

Prerequisites

Node.js 18+
A Supabase project
A Google Cloud project with OAuth 2.0 credentials
A Google AI Studio API key (Gemini)
A Razorpay account

1. Clone the repo

git clone https://github.com/Aman17123/AchiVAI-AI-Saas_RESUME-ENHANCER.git
cd AchiVAI-AI-Saas_RESUME-ENHANCER

2. Install dependencies

npm install

3. Set up environment variables

Create a .env.local file at the root:

# Supabase — Dashboard → Project Settings → API
NEXT_PUBLIC_SUPABASE_URL=https://your-project-id.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-supabase-anon-key
SUPABASE_SERVICE_ROLE_KEY=your-supabase-service-role-key

# Google Gemini AI — https://ai.google.dev
GEMINI_API_KEY=your-gemini-api-key

# Razorpay — https://dashboard.razorpay.com
RAZORPAY_KEY_ID=rzp_test_xxxxxxxxxxxx
RAZORPAY_KEY_SECRET=your-razorpay-secret
RAZORPAY_WEBHOOK_SECRET=your-razorpay-webhook-secret

# App URL — use your live Vercel URL in production
NEXT_PUBLIC_APP_URL=http://localhost:3000

4. Set up the database

Go to Supabase Dashboard → SQL Editor
Paste the contents of scripts/supabase.sql and click Run
Go to Authentication → Providers → Google and enable Google OAuth
Copy the Callback URL shown in Supabase
In Google Cloud Console → Credentials → OAuth 2.0 Client, add it as an Authorized Redirect URI:
```
https://your-project-id.supabase.co/auth/v1/callback
```

5. Run the development server

npm run dev

Open http://localhost:3000 🎉

☁️ Deployment on Vercel

Push your code to GitHub
Import your repository at vercel.com
In Vercel → Project → Settings → Environment Variables, add all variables from .env.local
Set NEXT_PUBLIC_APP_URL to your live Vercel URL (e.g., https://arcivai.vercel.app)
Click Deploy 🚀

🧩 How the AI Analysis Works

User uploads Resume (PDF/DOCX)
         │
         ▼
  fileParsers.js extracts raw text
         │
         ▼
  prompt.js builds a structured Gemini prompt
  (resume text + optional job description)
         │
         ▼
  Gemini 3.6 Flash returns structured JSON:
  { atsScore, matchedKeywords, missingKeywords,
    sectionsAnalyzed, feedback, suggestions, suggestedRole }
         │
         ▼
  Results displayed on /analysis page
  (ATS score gauge, keyword chips, section breakdown)

💰 Pricing

Feature	Free	Premium (₹499 one-time)
AI Resume Analyses	2 / month	Unlimited
ATS-Friendly Templates	All	All
PDF Download	✅	✅
Cloud Save	✅	✅
Job Description Matching	✅	✅
Priority Support	❌	✅
Price	₹0 / forever	₹499 one-time

🔒 Security

Protected routes (/dashboard, /analysis, /template/[id]) guarded by server-side middleware
Row Level Security (RLS) enforced at DB level — no accidental data leaks
Razorpay webhook payloads verified with HMAC signature before processing
SUPABASE_SERVICE_ROLE_KEY is server-only — never exposed to the browser
.env.local is gitignored — secrets are never committed

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first.

Fork the project
Create your feature branch: git checkout -b feat/amazing-feature
Commit your changes: git commit -m 'feat: add amazing feature'
Push to the branch: git push origin feat/amazing-feature
Open a Pull Request

👤 Author

Aman Nakoti

GitHub: @Aman17123
Live Project: arcivai.vercel.app

📄 License

This project is open source and available under the MIT License.

Made with ❤️ and a lot of Gemini API calls.

If this helped you, please ⭐ star the repo!

Name		Name	Last commit message	Last commit date
public		public
scripts		scripts
src		src
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
README.md		README.md
eslint.config.mjs		eslint.config.mjs
jsconfig.json		jsconfig.json
next.config.mjs		next.config.mjs
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs
tsconfig.json		tsconfig.json

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🚀 AchiVAI — AI Resume Enhancer

✨ Features

🧠 AI-Powered Resume Analysis

📝 Resume Builder

🔐 Authentication

💳 Monetization

⚡ Performance & SEO

🛠️ Tech Stack

📁 Project Structure

🗄️ Database Schema

🚀 Getting Started

Prerequisites

1. Clone the repo

2. Install dependencies

3. Set up environment variables

4. Set up the database

5. Run the development server

☁️ Deployment on Vercel

🧩 How the AI Analysis Works

💰 Pricing

🔒 Security

🤝 Contributing

👤 Author

📄 License

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🚀 AchiVAI — AI Resume Enhancer

✨ Features

🧠 AI-Powered Resume Analysis

📝 Resume Builder

🔐 Authentication

💳 Monetization

⚡ Performance & SEO

🛠️ Tech Stack

📁 Project Structure

🗄️ Database Schema

🚀 Getting Started

Prerequisites

1. Clone the repo

2. Install dependencies

3. Set up environment variables

4. Set up the database

5. Run the development server

☁️ Deployment on Vercel

🧩 How the AI Analysis Works

💰 Pricing

🔒 Security

🤝 Contributing

👤 Author

📄 License

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