Inspiration

Students spend countless hours switching between job portals, resume analyzers, interview preparation websites, spreadsheets, and career guidance platforms. Despite all these tools, many still miss opportunities, apply for roles they are not eligible for, and struggle to prepare effectively.

We wanted to build a single AI-powered platform that simplifies the entire placement journey. Instead of forcing students to use multiple services, we envisioned one intelligent career operating system that understands a student's profile and provides personalized guidance from resume upload to job offer.

What it does

StudentOS AI is an AI-powered career operating system that helps students throughout their placement journey.

The platform enables users to:

Upload a resume and extract structured information using Google Gemini AI Discover live internships and job opportunities Calculate AI-powered opportunity match scores Analyze resumes against job descriptions with an ATS Resume Analyzer Generate personalized technical and HR interview questions Receive career guidance through an AI Career Copilot Organize applications using a Kanban-style tracker Monitor career progress with an intelligent dashboard

Instead of using multiple platforms, students can manage everything from one place.

How we built it

The application was developed using a modern full-stack architecture.

Frontend

React.js Tailwind CSS Axios React Router

Backend

FastAPI Python JWT Authentication Motor Bcrypt

Database

MongoDB

Artificial Intelligence

Google Gemini API

External APIs

JSearch API for live internship and job discovery

The backend combines AI resume parsing, opportunity matching, ATS analysis, interview preparation, and career guidance into a unified workflow.

Challenges we ran into

Building StudentOS AI involved several technical challenges:

Integrating multiple AI and external APIs into one seamless experience Parsing resumes with consistent structured output Matching resumes against opportunities intelligently Designing a scalable backend architecture Managing authentication securely with JWT Handling deployment and API integration across cloud platforms

These challenges helped us improve both the architecture and overall user experience.

Accomplishments that we're proud of

Built an end-to-end AI career platform Integrated Google Gemini for multiple AI workflows Added live internship and job discovery Developed AI-powered resume matching and ATS analysis Implemented personalized interview preparation Created an intelligent Career Copilot Built a complete application tracking system Successfully deployed the platform with separate frontend and backend services

What we learned

This project taught us that building AI products is much more than integrating a language model. We learned how to combine multiple AI capabilities with real-world workflows, design scalable backend services, improve prompt engineering, integrate external APIs, and create an experience that genuinely helps users make better career decisions.

What's next for StudentOS AI: Intelligent Career Operating System

We plan to expand StudentOS AI with:

AI Resume Builder Voice-based mock interviews GitHub and LinkedIn profile analysis Personalized learning roadmaps Scholarship and hackathon discovery Company-specific interview preparation Email notifications and reminders AI-powered placement planner

Our long-term vision is to build a complete AI career ecosystem that supports students from learning to landing their dream job.

Built With

Share this project:

Updates

Submission history