Clear Skies Resume

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  Homepage

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  Analyzed Results

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  Edit resume

Inspiration

• Hiring is inefficient
• Applicants often don’t know how well they match a job
• Recruiters spend too much time filtering resumes

Who is affected?

Job seekers and recruiters

What it does

• Automatically analyze resumes and job descriptions
• Provide a match percentage
• Show missing skills and candidates needs
• Support all career paths and domains
• Offer a clean, user friendly web interface

How we built it

Frontend: HTML, CSS, JS

Backend: Python (Flask)

Libraries:

• SpaCy for NLP
• Skylearn for TF-IDF & similarity
• Data: skill maps & Buzzwords in JSON

Datasets

• https://www.kaggle.com/datasets/gauravduttakiit/resume-dataset
• https://www.kaggle.com/datasets/kshitizregmi/jobs-and-job-description

Challenges we ran into

• Import different libraries and frameworks
• Get the code to work in different libraries

Accomplishments that we're proud of

• Converting pdf files into text to read and analyze
• Include recommend job categories based on skills matched in the resume
• Training AI model to accurately return match skills

What we learned

• Importing different libraries in different environments
• Create a web app using Flask and React
• How to use and train AI models

What's next for Clear Skies Resume

Recommend URLs to jobs that might be a better match for user's skills

Built With

• css
• flask
• html
• javascript
• python
• react