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Development of an interactive multimodal interview platform for dynamic candidate evaluation

 Department: Computer Science  
 By: usericon MIke_Tech_World  

 Project ID: 9633
   Rating:  (5.0) votes: 1
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   Price:₦5000
Abstract
The recruitment process often relies on traditional interviews and manual assessment methods, which can be time-consuming, subjective, and difficult to standardize. The increasing availability of artificial intelligence and multimodal technologies provides opportunities to improve the way candidates are assessed during interviews. This project focuses on the development of an Interactive Multimodal Interview Platform for Dynamic Candidate Evaluation, designed to provide a more interactive, consistent, and data-driven approach to candidate assessment. The proposed platform integrates multiple forms of candidate interaction, including text, audio, and video, to simulate an interview environment. The system dynamically presents interview questions based on the candidate''s responses and evaluates relevant aspects of their performance. Features such as response relevance, communication, confidence, and other predefined assessment criteria are considered in generating an overall evaluation. The platform also provides structured feedback and assessment results to assist recruiters in making informed decisions. The system is developed using appropriate software development tools, web technologies, and machine learning or artificial intelligence techniques where applicable. The performance of the developed platform is evaluated based on its usability, responsiveness, accuracy of assessment, and ability to provide consistent candidate evaluations. The project is expected to demonstrate that a multimodal interview platform can enhance the efficiency and structure of the recruitment process while reducing some of the limitations associated with purely manual candidate evaluation....
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