Inspiration
Inspired by the personal struggle of manually tailoring countless job applications in India's competitive market.
What it does
It's an AI agent that takes a user's profile and a job URL to automatically generate a hyper-personalized resume and cover letter.
How we built it
We built it using Python, with IBM's Granite model as the core AI engine and Streamlit for the rapid, interactive UI.
Challenges we ran into
Our main challenge was reliably scraping varied job description layouts and refining our prompts for consistent, high-quality AI output.
Accomplishments that we're proud of
We're proud of creating a functional, end-to-end agentic workflow that solves a real-world problem in under 24 hours.
What we learned
We learned the power of prompt engineering and how to rapidly prototype a complete AI application using Streamlit and IBM's GenAI SDK.
What's next for AI Career Copilot
Next, we plan to enhance the web scraper's robustness, add direct PDF export, and integrate with job platforms like LinkedIn and Naukri.
