ResumeReviser

Inspiration

We always want to create a resume that will impress employers. The problem is fitting your resume to their expectations. How well or far off are you from the goalpost? We came up with the idea of ResumeReviser because it could help people looking or not looking for employment gauge how well their resumes meet those expectations.

What it does

ResumeReviser is a Flask-based web application that allows users to upload their resumes in PDF format, enter a job listing, and receive feedback on the match percentage between the resume and the specified job listing. The application uses natural language processing techniques, specifically cosine similarity, to analyze the textual content of the resume and job listing, providing users with a percentage indicating how well their resume aligns with the specified job requirements.

How we built it

We used Flask as our framework and SQLite3 as our database. We used multiple libraries to read our PDF files and then interpret the words on them. We then handled the comparison and assessed the job listing description and the resume to determine if they fit the role they were trying to apply for.

Challenges we ran into

Most of the team had previously worked with Flask or SQL in a full-stack project. We also were working with limited time as we arrived late Friday evening. With the project, we found great difficulty maintaining data between user sessions. We had to figure out how to properly use the SQL database to avoid losing the comparison between job listings and user-uploaded resumes.

Accomplishments that we're proud of

We integrated other technologies, such as Bootstrap, to improve the user experience further and create a pleasing general user interface. We successfully developed and researched the algorithms necessary to match the important keywords to their job descriptions.

What we learned

We learned how to collaborate with multiple new technologies and the problems of doing so. How to set up the necessary virtual environment, set up schema, and access an SQL database. Consequently, it also taught us how to deal with user files and maintain their concurrency through sessions. We experimented with Bootstrap features on the front end to create a pleasing interface.

What's next for ResumeReview

Improved user interface design. Advanced analysis features or suggestions based on the resume and job listing. Error handling and validation improvements. Security enhancements.