Hire Stream: Smarter Hiring with AI-Powered Interviews and Seamless Connections

Authors

  • Prajwal Vinayak Naik Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author
  • Prof Sangeetha Raj S Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author
  • Prof Mahalakshmi B Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author
  • Nikhil P Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author
  • Prajwal M Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author
  • R P Nimith Department of Computer Science and Engineering, AMC Engineering College, Bangalore-560083, Karnataka, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0449

Keywords:

Artificial Intelligence, Natural Language Processing, Machine Learning, Automated Interviews, Video Analytics, Emotion Recognition, Candidate Screening, Recruitment Automation, Predictive Hiring, SaaS Platform, Real-time Analysis, Bias Reduction, Talent Acquisition

Abstract

The recruitment landscape has undergone significant transformation with the integration of artificial intelligence technologies, fundamentally reshaping how organizations identify, evaluate, and hire talent. This project presents HireStream, an innovative AI-powered recruitment platform that revolutionizes the hiring process through intelligent interview systems and seamless connectivity solutions. The platform addresses critical challenges in modern recruitment by automating time-consuming tasks, reducing human bias, and enhancing the overall candidate experience. HireStream leverages advanced machine learning algorithms and natural language processing to streamline resume screening, conduct automated video interviews, and provide real-time candidate assessment. The system incorporates intelligent matching capabilities that analyze candidate profiles against job requirements, ensuring optimal alignment between applicant skills and organizational needs. Through its AI-driven approach, the platform significantly reduces screening time by up to 75% while improving candidate quality and hiring accuracy. The platform features conversational AI interfaces that facilitate seamless communication between recruiters and candidates, providing instant responses, scheduling automation, and personalized feedback throughout the hiring journey. HireStream's comprehensive dashboard offers predictive analytics and data-driven insights, enabling recruiters to make informed decisions based on historical patterns and candidate performance metrics. Implementation results demonstrate substantial improvements in recruitment efficiency, with organizations experiencing reduced time-to-hire from traditional 44-day cycles to 11 days, while maintaining high-quality candidate selection standards. The platform's user-friendly interface and mobile-first design ensure accessibility across all stakeholders, creating an engaging experience for both recruiters and job seekers. By combining cutting-edge AI technology with human-centered design principles, HireStream represents a significant advancement in talent acquisition, offering organizations a competitive edge in securing top talent while optimizing operational costs and enhancing diversity in hiring practices.

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Published

2025-09-22