MACHINE LEARNING AND NLP BASED RESUME PARSING FRAMEWORK FOR E-RECRUITMENT

MACHINE LEARNING AND NLP BASED RESUME PARSING FRAMEWORK FOR E-RECRUITMENT

Snehal Nikam, Prathmesh Patil, Supriya Pingale, Yashaswini Rajebhosale, Prof. K. B. Dhomse.
1 nikamsnehal208@gmail.com, Student of BE. Dept. of Information Technology MET-IOE, Nashik, India

2 ap698431@gmail.com, Student of BE. Dept. of Information Technology MET-IOE, Nashik, India

3 supriya.pingale24@gmail.com, Student of BE. Dept. of Information Technology MET-IOE, Nashik, India

4 yashaswinirajebhosle@gmail.com, Student of BE. Dept. of Information Technology MET-IOE, Nashik, India

5 Internal Guide Dept. of Information Technology MET’s Institute of Engineering, Nashik, India

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Abstract - The growth of the Indian recruitment market has led to the emergence of specialized recruitment agencies that leverage machine learning models to streamline the recruitment process and deliver the right talent to their clients. So, the proposed model has the potential benefits of the ML model to modify the hiring process and make it more efficient and fairer. By using NLP approaches, you can extract valuable information from resumes and provide accurate ratings based on the requirements of the company. With careful testing and refinement, your web portal could be a valuable resource for both job applicants and hiring managers alike. In addition, you could consider incorporating features such as personalized feedback and suggestions for improvement in the resume. This can help applicants to understand where they may be falling short and how they can improve their chances of being hired.