This image shows the cover page of the application.
This image shows the section where user can enter their details.
This image shows the section of the app where exam orientated opportunitiesof the user are listed
This image shows the private career opportunities of the user.
This image shows the higher study opportunities of the user.
This image shows the section which provides a customized resume.
This image shows compass ai, that is questions can be asked and the app will answer those questions.
This image shows dashboard of the app.

Inspiration

Many students complete their graduation, diploma, or higher education but remain confused about their next step. Finding relevant government exams, jobs, and career opportunities requires visiting multiple websites and understanding complex eligibility criteria. EXAMBRIDGE was inspired by the need to provide a single platform that simplifies this process and helps students discover opportunities based on their unique profile.

What it does

EXAMBRIDGE is an AI-powered exam and career eligibility platform. Users enter details such as education, age, state, category, skills, and interests, and the platform instantly identifies relevant government exams, private jobs, higher education options, and career paths. It provides eligibility information, important dates, official resources, and personalized recommendations.

How we built it

We built EXAMBRIDGE using a web-based architecture with a user-friendly interface. The platform uses a MongoDB database to store exam information and eligibility criteria. We integrated eligibility-matching logic that compares user profiles with exam requirements and displays personalized results. Development was managed using GitHub and modern web technologies.

Challenges we ran into

Our biggest challenge was managing complex eligibility rules, since every exam has different requirements based on qualification, age, category, and state. Another challenge was creating a system that remains simple for users while handling large amounts of career and exam data. Ensuring future data accuracy and updates was also an important consideration.

Accomplishments that we're proud of

We are proud of creating a platform that addresses a real-world problem faced by millions of students. EXAMBRIDGE transforms scattered information into personalized career guidance, helping users quickly identify opportunities they may have otherwise missed. We successfully developed a concept that is both practical, scalable, and impactful.

What we learned

Through this project, we learned about database design, eligibility-matching systems, user experience design, and project management. We also gained insights into the challenges students face when searching for opportunities and how technology can provide personalized career guidance at scale.

What's next for EXAMBRIDGE

Our next goal is to add real-time exam notifications, AI career counseling, personalized preparation roadmaps, scholarship recommendations, job matching, and mobile app support. We also plan to expand the platform to include global opportunities, making EXAMBRIDGE a complete career discovery and guidance ecosystem for students and job seekers.

Built With

cors
dotenv
express.js
generative-ai
luicide-react
mongodb
mongoose
node.js
react
tailwind-css
typescript
typescript-execute
vite

Submitted to

Google Cloud Rapid Agent Hackathon

Created by

As the Team Leader of Team, I led the development of ExamBridge from concept to implementation. I designed the project idea, coordinated team activities, contributed to research, planning, and development, and ensured smooth collaboration throughout the project. This experience strengthened my leadership, problem-solving, and project management skills while helping create a platform that connects students with career opportunities.
A special thanks to my amazing teammates for their dedication, creativity, and hard work. Their contributions made ExamBridge possible. Together, we built a solution that connects students to opportunities and helps shape brighter futures.

Saikat Maity
As a primary developer on this project, I stepped out of my comfort zone to learn an entirely new full-stack ecosystem under a tight deadline. My key contributions include:
Full-Stack Integration: Successfully connected the frontend user interface with the backend server and established a secure, live connection to our cloud database, ensuring smooth end-to-end data flow.
Database Management: Learned and implemented MongoDB Atlas for the first time. I structured the schemas using Mongoose, set up the cloud database cluster, and successfully uploaded and managed our application data.
Debugging & Refactoring: Rigorously tested the application to identify, isolate, and clear all critical errors across both the frontend and backend codebase, ensuring a stable and functional final build.
Version Control & DevOps: Managed the entire codebase using GitHub, initializing public repositories, handling code iterations, and prepping the project for its production deployment.
What I Learned / Proudest Accomplishments
This hackathon marked the very first time I worked with the Gemini API, Google AI Studio, MongoDB Atlas, Mongoose, and cloud deployment. I am incredibly proud of how quickly I picked up these production-grade tools, troubleshooted complex full-stack integration issues, and delivered a working AI agent from scratch.
I would like to thank my team leader who helped me in my highs and lows during this project. I would like to thank Google and Devpost for providing us platforms like this so that we can grow and learn.

Agamani Mukherjee