GetAJobBro: Job Search & Resume Feedback App

Inspiration

As students navigating the job market, we quickly realized how overwhelming the process can be. Writing a strong resume, preparing for interviews, and searching for the right job all require different resources, often spread across multiple platforms. We found ourselves switching between tools—one for resume building, another for job searching, and yet another for interview preparation—without any clear guidance or cohesion.

We wanted to build a one-stop solution that simplifies the job-hunting journey. Instead of juggling multiple platforms, what if there was a single tool that helped job seekers craft a strong resume, receive AI-driven feedback, prepare for interviews, and search for relevant job opportunities—all in one place?

That’s what inspired us to create GetAJobBro, an AI-powered career assistant that streamlines resume building, job searching, and interview preparation, making the job hunt smarter, faster, and more efficient.

What it does

GetAJobBro helps job seekers find, prepare for, and land jobs through three core features:

Job Search – Users can filter job listings by title, location, and employment type (internship, full-time, part-time).
Resume Upload & Feedback – Users can upload their resumes (PDF or DOCX), and our AI provides personalized feedback to improve structure, clarity, and relevance.
Mock Interview Generator – Our AI generates tailored interview questions based on a job description to help users practice and prepare with confidence.

By combining these essential job-seeking tools, GetAJobBro makes the job search process smoother, more efficient, and less stressful.

How we built it

We designed GetAJobBro using a combination of web technologies and AI tools to create a streamlined and intuitive experience:

Frontend: Built with Streamlit to provide an interactive, user-friendly interface.
Backend: Powered by Flask to handle API requests, job searches, resume processing, and AI integration.
Database: MongoDB stores job listings, user profiles, and resume data for efficient retrieval and scalability.
AI Integration: OpenAI’s GPT API generates personalized resume feedback and mock interview questions.
Security: SHA256 encryption ensures safe authentication and user data protection.
File Processing: PyMuPDF and python-docx handle PDF and DOCX resume uploads, enabling text extraction for AI analysis..

Challenges we ran into

Fine-Tuning AI Resume Feedback – Ensuring that OpenAI's feedback was helpful, structured, and job-relevant required extensive testing.
Extracting Text from Different File Formats – Handling PDFs and DOCX files while preserving content structure was technically challenging.
Scalability & Database Optimization – Storing job listings and managing user data efficiently with MongoDB required careful indexing and optimization.
Time Constraints – We built this project within a short timeframe, so prioritizing core features while maintaining quality was key.

Accomplishments that we're proud of

Despite the challenges, we successfully built a working prototype that demonstrates the potential of an AI-powered career assistant. Some key achievements include:

Seamless User Experience – We successfully built an intuitive interface that integrates job search, resume feedback, and interview prep in one place.
AI-Powered Career Assistance – Implemented OpenAI’s GPT to generate highly personalized resume feedback and interview questions.
Security & Data Privacy – We ensured that user data is protected, with secure authentication and encrypted password storage.
Fully Functional MVP – Despite time constraints, we developed a working prototype that delivers real value to job seekers.

What we learned

AI Can Enhance Job Search & Preparation – Using AI for resume feedback and mock interviews significantly improves the job-seeking process.
The Importance of Scalability – Designing the platform to efficiently handle large datasets (job listings, user resumes) was crucial.
User-Centric Development – Gathering early user feedback and iterating on features helped us refine the platform's functionality.
Collaboration & Rapid Development – Working under a strict deadline forced us to prioritize effectively, distribute tasks efficiently, and maximize productivity.

What's next for GetAJobBro

GetAJobBro is just the beginning—we have big plans to expand its capabilities and provide even more value to job seekers.

Real Job Listings Integration – We plan to connect with LinkedIn, Indeed, and Glassdoor APIs to provide live job updates.
AI-Powered Career Coach – A more advanced personalized AI assistant to offer tailored career guidance.
Resume PDF Export – Users will soon be able to download AI-enhanced resumes in professional templates.
Auto-Apply Feature – AI-assisted job applications based on user preferences and qualifications.
Mobile App Development – Bringing GetAJobBro.com to mobile devices for easy job searching on the go.

By continuously improving and expanding GetAJobBro.com, we aim to redefine the job-seeking experience—making it more efficient, accessible, and stress-free for everyone.

Built With

flask
mongodb
openai
pymupdf
python
python-docx
sha256
streamlit

Submitted to

Hacklytics 2025: Jurassic Age

Created by

I was the idea creator behind GetAJobBro. As a student navigating the job market, I realized how frustrating and time-consuming it was to juggle different platforms for resume building, job searching, and interview preparation. This inspired me to pitch the concept of a one-stop AI-powered career assistant that simplifies the job hunt.

Beyond ideation, I took the lead on designing and presenting our project. I created a clear and engaging presentation that effectively communicated our vision, features, and technical implementation. I ensured that the storytelling captured the real-world struggles of job seekers and how our platform solves them.

I also took the opportunity to learn Streamlit from scratch to better understand how the frontend worked and how we could optimize the user experience. This allowed me to contribute feedback on the UI and user flow, ensuring the platform was intuitive and easy to navigate.

I'm incredibly proud of how our team collaborated to bring this idea to life. Huge thanks to my teammates - Yateeka Goyal, Dhruv Khamar and Lan Ngoc Do for their dedication, and hard work. This project would not be successful without them. I’m excited to see how GetAJobBro evolves in the future!

Khushi Mishra
I primarily focused on the design and implementation of both the frontend and backend for GetAJobBro.com. My primary contributions included developing a dynamic resume review feature that integrates with a generative AI engine to deliver personalized feedback based on user input. Additionally, I built a job search functionality that enables users to quickly access current job listings, and I ensured that the authentication components—such as the sign-in and sign-out processes—functioned flawlessly.

This being my first hackathon project, I embraced a steep learning curve that involved mastering MongoDB and Streamlit. Despite the challenges, the experience was incredibly rewarding and significantly enhanced my technical proficiency and understanding of full-stack development.

I collaborated closely with Yateeka Gogal to design and develop the full-stack architecture of the project, encompassing both the front-end and back-end elements. A special thanks go to Khushi Mishra for her innovative idea and vision that drove the project's direction, and to Dhruv Khamar for his continuous support and involvement throughout the development process. Together, we ensured the successful integration of all project components, resulting in a seamless and user-friendly interface that delivered an outstanding user experience and high-quality final product.

Lan Ngoc Do
I mainly worked on integrating the backend and frontend together for GetAJobBro.com. This involved ensuring smooth communication between the Flask backend and the Streamlit frontend, allowing the application to function seamlessly. I was responsible for creating the chatbot, which included implementing the logic to generate personalized responses based on user input. Additionally, I worked on the login functionality, including the secure sign-up, login, and password management systems.

Along with Lan Ngoc Do, we refined the user interface (UI), making sure the design was both intuitive and responsive to provide users with a pleasant experience. I also contributed to the creation of the project’s databases, managing MongoDB to store and retrieve job listings, user credentials, and feedback data. Connecting MongoDB with our project ensured smooth data handling, from job search results to resume feedback, and optimized the overall performance of the app.

I want to express my sincere thanks to Khushi Mishra for pitching the amazing idea behind GetAJobBro.com. Her vision has been a driving force behind the development of this project, and I’m proud to have contributed to bringing it to life. I’d also like to thank Dhruv Khamar for being a part of the project and supporting the development efforts.

Yateeka Goyal
Dhruv Khamar

Updates

Khushi Mishra started this project — Feb 23, 2025 02:31 AM EST

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