- Introduction
- What is the main idea behind this app
- Google Colab Tutorial
- Installing dependencies
- Extract Data from Job Posts
- Resume AI is born
- Our new AI serves us
Introducing an AI-powered application designed to revolutionize the hiring process by assessing the compatibility of candidates' resumes with job postings. This innovative app allows users to upload resumes and generates a comprehensive CSV file as output. The file includes the candidate's name, a compatibility score out of 10, and the AI's interpretation of the candidate's qualifications, such as skills and relevant experience.
Human resources departments can utilize this app to expedite the search for potential employees. By leveraging AI technology, the app quickly evaluates the alignment between a candidate's resume and job requirements, providing a simplified and efficient screening process. It saves valuable time and resources by highlighting top matches, enabling HR professionals to focus on interviewing and selecting the most suitable candidates.
For applicants, this app serves as a valuable tool to gain insights into their compatibility with job postings. By viewing their scores and the AI's interpretations, candidates can identify areas of improvement in their resumes based on the requirements of specific job posts. This empowers applicants to enhance their profiles, increasing their chances of securing desired positions.
With this AI-powered app, the hiring process becomes streamlined, accelerating the identification of potential employees while offering valuable feedback to applicants. It represents a significant advancement in recruitment technology, benefiting both employers and candidates alike.
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I have more than 4 years of professional Data Science experience in the industry. I worked full-time and part-time jobs at companies like MegaGear (an E-commerce business based in Los Angeles), and Mercedes. With my projects, I have got selected by Tubitak as a star researcher in my freshman year. On LinkedIn, I have posts with machine learning projects that have received 850.000+ views and 7.000+ likes/comments in the last 2 months. I have 300+ stars on GitHub