Ai Career Guidance & Placement Saas Platform

A production-ready, full-stack EdTech platform designed to automate career guidance. It acts as a 24/7 AI Placement Officer, helping users optimise resumes, prepare for interviews, and generate personalised learning paths.

I built this during the Google Gen AI Exchange Hackathon 2025, and it is fully deployed with a modern, scalable architecture. I am selling the entire source code and IP as a turnkey asset for a founder who wants to skip three months or more of development and go straight to marketing.

Key Features (Fully Functional)

• AI Resume ATS: Users upload a PDF resume and get an instant ATS score (0-100) with specific improvement suggestions using Google Gemini.
• Learning Roadmap Generator: Generates custom week-by-week study plans for 8+ domains (Frontend, DevOps, etc.) based on the user's current skill level.
• AI Mock Interviews: Conducts real-time technical and behavioural interviews with voice support (Speech-to-Text) and provides instant feedback.
• Job Aggregator: Scrapes and lists remote/local jobs with advanced filtering.
• Scholarship Finder: Database of scholarships and internships tailored for students.

Tech Stack (Modern & Scalable)

• Frontend: Next.js 15 (App Router), React 19, Tailwind CSS, Framer Motion.
• Backend: Node.js, Express.js, MongoDB Atlas.
• AI Engine: Google Gemini 1.5 Pro (Fine-tuned prompts included).
• Auth & Storage: Firebase Authentication & Cloud Storage.
• Payments: Razorpay integration (Subscription ready).

Monetisation Model (Ready to Turn On)

The platform is pre-configured with a Freemium SaaS model:

• Free Tier: Lead magnet with limited daily quotas.
• Premium Subscriptions: Pre-built tiers (Starter, Pro) locked behind a payment gateway.
• B2B Opportunity: The code is clean and modular, making it perfect to white-label and sell to Universities or Coding Bootcamps as a placement solution.

What's Included in the Sale?

• Full Source Code: GitHub repository transfer.
• Prompt Library: The proprietary system prompts used to instruct Gemini AI.
• Database Schema: Structured MongoDB collections for Users, Roadmaps, and Jobs.
• Setup Guide: Documentation on how to deploy and configure environment variables.

Why Buy?

This is not a "template." It is a fully functional SaaS app with complex AI logic already solved. It would cost over $ 5,000 and take months to hire a developer to build this from scratch. You are buying a finished product that is ready for a marketing launch.