Resume data extract and job recruitment Chatbot features for AI-based resume screening & analytics

Area of Science:

• Artificial Intelligence
• Human Resources Technology
• Natural Language Processing

Background:

• Traditional recruitment methods face challenges in efficiency, accuracy, and scalability.
• The integration of Artificial Intelligence (AI) offers a transformative approach to manpower recruitment.
• Enhancing the candidate experience is crucial for successful talent acquisition.

Purpose of the Study:

• To develop an integrated AI recruitment system combining Resume Screening AI and a Job Recruitment Chatbot.
• To improve the overall efficiency and accuracy of the hiring process.
• To enhance the candidate experience through interactive and accessible communication tools.

Main Methods:

• Implemented a Document Processing Pipeline using PyPDF2 and python-docx to parse and structure resume data.
• Utilized Google Gemini 1.5 Flash API with engineered prompts for data validation against JSON-Schema.
• Developed an Intelligent Screening System employing large language model inference for candidate evaluation and ranking.
• Created an Interactive Chatbot with Natural Language Processing (NLP), speech-to-text, and FAQ automation for candidate engagement.

Main Results:

• Successfully parsed and structured resumes from various formats into standardized data.
• Automated candidate screening based on relevance scores and classified evaluations against job requirements.
• Deployed an interactive chatbot capable of answering frequently asked questions and providing conversational guidance.
• Enabled voice-to-text functionality to improve accessibility for a diverse user base.

Conclusions:

• The AI recruitment system significantly enhances the efficiency, accuracy, and scalability of the hiring process.
• The integrated approach of resume screening and chatbot interaction improves both operational effectiveness and candidate satisfaction.
• AI technologies, particularly large language models and NLP, are pivotal in modernizing recruitment practices.