🌟 GetYourDestination — Executive AI Interview Strategy Platform

Land Your Next Role With Unflinching Confidence.
Precision AI career intelligence tailored to your exact target position. Synthesize role-calibrated technical deep dives, STAR behavioral frameworks, skill gap analyses, and 7-day roadmaps in just 3 to 5 seconds.

View Screenshots • Key Features • System Architecture • Tech Stack • Getting Started • API Endpoints

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📸 Visual Showcase

1. Landing Page — Executive Editorial Experience

An editorial hero section built with an Obsidian & Gold luxury aesthetic, live performance metrics (94.8% placement success rate, 3.5x velocity multiplier), candidate testimonials, and trust badges from top tech firms.

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2. AI Strategy Studio — Precision Input Workspace

Upload your resume (PDF/DOCX) or specify your core tech stack, supply the exact target job description (up to 5,000 characters), and launch the Gemini AI strategy synthesis engine.

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3. Interview Strategy Report — Calibrated Blueprint

Role-calibrated technical questions with interviewer intention analysis, STAR behavioral response blueprints, identified focus & skill gaps, daily study roadmaps, and one-click ATS resume generation.

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4. Consultancy Concierge & Support

Interactive candidate inquiries portal with response SLAs (12–24h), global coverage details, enterprise confidentiality NDA guarantees, and an expandable FAQ accordion.

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✨ Key Features

🧠 1. Google Gemini AI Strategy Synthesis

• Targeted Technical Deep Dives: Synthesizes 3 architectural, domain-specific technical questions tailored to the exact requirements of the job description, complete with Interviewer Intention breakdowns and high-scoring Structured Responses.
• STAR Behavioral Framework: Produces scenario-based behavioral questions paired with step-by-step STAR (Situation, Task, Action, Result) answer templates calibrated to corporate leadership principles.
• Skill Gap Diagnosis: Accurately compares your uploaded resume against the job description to highlight missing competencies and provide concrete remediation steps.
• 7-Day Adaptive Roadmap: Generates an actionable day-by-day preparation schedule with recommended study topics and practice resources.
• ATS Resume Generator: Exports a clean, semantic, ATS-optimized HTML resume tailored directly for the target role.

💼 2. Candidate Workflow & Studio

• Multi-Format Resume Ingestion: Drag-and-drop support for PDF and DOCX resumes, powered by multer and pdf-parse on the backend.
• Quick Self-Description Mode: Direct input for candidates without a resume on hand, enabling fast ad-hoc strategy generation.
• History & Strategy Archive: Automatically saves all generated blueprints to MongoDB, allowing candidates to revisit previous reports anytime.

🎨 3. Luxury "Obsidian & Gold" Design System

• Curated Palette: Deep obsidian dark mode (#0B0D10), charcoal cards (#14171B), antique gold accents (#C9A227), and deep emerald status badges (#0E3B36).
• Modern Typography: High-end serif headings (Playfair Display / Cinzel) paired with geometric grotesk body typography (Plus Jakarta Sans).
• Fluid Animations: Smooth page transitions, staggered entrance variants, and micro-interactions powered by framer-motion.

🛡️ 4. Enterprise-Grade Authentication & Security

• Stateless JWT Auth: JSON Web Tokens stored securely with cookie & header support.
• Token Blacklisting: Invalidation of tokens on logout via MongoDB blacklist model.
• Password Security: Strong hashing with bcryptjs and real-time 4-tier password strength indicator on registration.
• Demo Login: Instant one-click test credentials for evaluators and recruiters.

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🏗️ System Architecture

GetYourDestination is structured as a modern full-stack decoupled MERN application:

GetYourDestination/
├── backend/                  # Express.js REST API & AI Engine
│   ├── src/
│   │   ├── config/           # Database & environment configurations
│   │   ├── controllers/      # Request handlers (authController, aiController)
│   │   ├── middleware/       # Auth (JWT verification) & Multer file upload
│   │   ├── models/           # Mongoose schemas (User, InterviewReport, Blacklist)
│   │   ├── routes/           # REST endpoints (/api/auth, /api/ai)
│   │   └── serivces/         # Core business logic (ai.service.js with Gemini failover)
│   ├── app.js                # Express app setup & CORS middleware
│   └── server.js             # HTTP server bootstrap & MongoDB connection
│
├── frontend/                 # React 19 + Vite Frontend SPA
│   ├── public/               # Static assets & brand icons
│   ├── src/
│   │   ├── components/       # Shared reusable UI elements (Buttons, Badges, SEO)
│   │   ├── features/         # Domain-driven feature modules
│   │   │   ├── Auth/         # Login, Register, Protected routes, Auth Context
│   │   │   ├── interview/    # Strategy Studio (Service.jsx) & Report (Interview.jsx)
│   │   │   └── marketing/    # Landing (Home.jsx), About.jsx, Feedback.jsx, Contact.jsx
│   │   ├── app.routes.jsx    # React Router v7 configuration
│   │   ├── index.css         # CSS Variables token design system
│   │   └── main.jsx          # React DOM entry point
│   └── vite.config.js        # Vite build tool configuration
│
└── docs/images/              # High-resolution screenshots for documentation

AI Generation Flow

sequenceDiagram
    autonumber
    actor User as Candidate
    participant FE as React Frontend (Vite)
    participant BE as Express Backend
    participant DB as MongoDB Database
    participant AI as Google Gemini AI Engine

    User->>FE: Submits Job Description & Resume (PDF)
    FE->>BE: POST /api/ai/generate (multipart/form-data + JWT)
    BE->>BE: Multer parses file -> pdf-parse extracts text
    BE->>AI: Structured prompt with JSON Schema constraint
    AI-->>BE: Returns JSON (Technical, Behavioral, Skill Gaps, 7-Day Plan)
    BE->>DB: Stores new InterviewReport tied to User ID
    DB-->>BE: Returns saved document ID
    BE-->>FE: 201 Created with Report Payload & ID
    FE-->>User: Navigates to /interview/:id (Strategy Report Blueprint)

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🛠️ Tech Stack

Frontend

Technology	Description
React 19	Modern declarative UI component library
Vite 8	Lightning-fast development server and optimized build tool
React Router v7	Declarative client-side routing & protected route wrappers
Framer Motion 12	Production-ready motion and physics-based micro-animations
Lucide React	Consistent, sleek icon suite
Sass (SCSS)	Modular styling layered on top of CSS custom properties
React Helmet Async	Dynamic OpenGraph and SEO meta tag management
Canvas Confetti	Delightful candidate victory celebrations

Backend & AI

Technology	Description
Node.js & Express 5	Scalable, lightweight REST API server framework
Google Gemini AI SDK	@google/genai multi-model synthesis engine with structured output
MongoDB & Mongoose 9	NoSQL document database for users, reports, and token blacklists
Multer & PDF-Parse	Secure multipart file upload & raw text extraction from resumes
JSON Web Token (JWT)	Stateless, token-based authentication
Bcrypt.js	Salted cryptographic password hashing
Zod	Schema definition and validation utilities

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🚀 Getting Started

Prerequisites

• Node.js: v18.0.0 or higher
• npm or yarn
• MongoDB: Local instance running on mongodb://localhost:27017 or a MongoDB Atlas cluster URL
• Google Gemini API Key: Obtainable from Google AI Studio

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1. Clone the Repository

git clone https://github.com/Akhilkumar4464/GetYourDestination.git
cd GetYourDestination

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2. Backend Setup

# Navigate to backend directory
cd backend

# Install dependencies
npm install

# Create environment configuration file
cp .env.example .env # or create .env manually

Configure your .env in the backend/ directory:

PORT=3000
MONGO_URI=mongodb://localhost:27017/getyourdestination
JWT_SECRET=your_jwt_secret_key_here
GEMINI_API_KEY=your_gemini_api_key_here
GEMINI_MODEL=gemini-3.7-flash
FRONTEND_URL=http://localhost:5173

Start the backend development server:

npm run dev
# Server will start on http://localhost:3000

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3. Frontend Setup

# Open a new terminal and navigate to frontend directory
cd frontend

# Install dependencies
npm install

Configure your .env in the frontend/ directory:

VITE_API_URL=http://localhost:3000

Start the Vite development server:

npm run dev
# Frontend will be accessible at http://localhost:5173

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📡 API Endpoints

Authentication (/api/auth)

Method	Endpoint	Access	Description
POST	/api/auth/register	Public	Register a new user account
POST	/api/auth/login	Public	Authenticate user & return JWT token
GET	/api/auth/logout	Public	Invalidate current JWT token
GET	/api/auth/me	Private	Retrieve currently authenticated user profile

AI Strategy Engine (/api/ai)

Method	Endpoint	Access	Description
POST	/api/ai/generate	Private	Generate interview strategy report from resume/job description
GET	/api/ai/my-reports	Private	Fetch all historical strategy reports for logged-in user
GET	/api/ai/:interviewId	Private	Fetch a single detailed strategy report by ID

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🛡️ Gemini AI Fallback Architecture

To ensure 99.9% uptime and prevent service interruption during peak load or model deprecation cycles, the AI service features an automated multi-model candidate failover pipeline:

1. User Defined Model: Checks process.env.GEMINI_MODEL (e.g., gemini-3.7-flash).
2. Next-Gen Failover: Automatically cycles through gemini-3.8-flash ➔ gemini-3.7-flash ➔ gemini-3.6-flash ➔ gemini-3.5-flash.
3. Smart Retry Mechanism: Automatically retries 429 (Rate Limit) and 5xx (Temporary Server) errors with exponential backoff delay before transitioning models.
4. JSON Schema Enforcement: Guaranteed rigid JSON parsing with defensive fallback extraction.

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📄 License

This project is licensed under the ISC License. See the LICENSE file for details.

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_{Crafted with passion for engineers, leaders, and ambitious professionals worldwide.}