Inspiration

Millions of job seekers are looking for a platform that can provide them with a free-of-cost resume analyzer and feedback-providing system. This idea helped us to innovate this solution

What it does

Our ATS Tracker provides a comprehensive analysis of resumes to determine how well they match specific job descriptions. We use AI-based models to extract and evaluate content from resumes, focusing on relevant keywords, skills, and experience. Users can upload their resumes in PDF format, and the system offers feedback on areas of strength and suggestions for improvement.

How we built it

Image Reading: This method uses optical character recognition (OCR) to read text from image-based resumes, allowing us to work with resumes in various formats, even if they're not traditional text-based PDFs. Text Reading: This method extracts text directly from PDF resumes to analyze the content. It's useful for evaluating resumes based on keywords, skill sets, and other textual elements. Benefits:

Challenges we ran into

Output generation was not as accurate as it was predicted

Accomplishments that we're proud of

We created this resume analyzer using both methodologies i.e. image processing and text processing. We observed that the results were quite the same. This means both the methods were working completely fine.

What we learned

Programming and Google API usage

What's next for Job Fit Analyser using Google Gemini

Job Seekers: Get detailed feedback on how your resume aligns with specific job descriptions. Understand what skills are crucial for your target role and receive personalized recommendations for improvement. Employers: Quickly evaluate candidates' resumes based on specific job requirements. Our system helps streamline the hiring process by identifying the best-suited candidates through ATS analysis. The project aims to make the resume screening process more efficient and effective by leveraging AI technology to analyze and evaluate resumes against job descriptions.

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