Inspiration
Many students struggle to understand how recruiters perceive their resumes and which skills to highlight. We wanted to build an AI tool to give actionable insights to improve resumes.
What it does
The AI Resume Analyzer scans resumes, identifies key skills, highlights strengths, and suggests improvements to make the resume more impactful.
How we built it
We use Python with Streamlit for the web interface. NLP techniques were applied to extract skills and evaluate content quality. The app is interactive and easy to use.
Challenges we ran into
. Parsing different resume formats(PDF, DOCX) reliably. . Accurately extracting skills from unstructured text. . Designing a simple and intuitive UI for users.
Accomplishments that we're proud of
. Successfully built a working web app that analyses resumes in real-time. . Able to give personalized suggestions for resume improvement.
What we learned
. Practical experience with Python NLP libraries. . Deploying ML-based projects on Streamlit. . Handling real-world data with variability and inconsistencies.
What's next for AI Resume Analyzer
. Add support for multiple languages. . Integrate with LinkedIn for automated profile analysis. . Include scoring and ranking system for better feedback.
Log in or sign up for Devpost to join the conversation.