Detection of Emotional Intensity from Speech and Content Analysis

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dc.contributor.author Kenan Ahmed, 01-134201-033
dc.contributor.author Muhammad Umer, 01-134201-098
dc.date.accessioned 2024-03-11T06:44:53Z
dc.date.available 2024-03-11T06:44:53Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/17058
dc.description Supervised by Dr. Muhammad Asfand-e-Yar en_US
dc.description.abstract This research project introduces an innovative Emotion Detection and Content Analysis system aimed at revolutionizing customer support. In the digital age, exceptional customer service is a key differentiator for businesses. This system combines cutting-edge technologies to enhance support quality, ensure user authentication, and gain insights into user interactions. Key components include user authentication, real-time audio processing for emotion detection, content analysis, and robust database management. The project prioritizes performance, reliability, and security, offering real-time analysis and protection measures. By deploying this system, businesses can provide more personalized support and gain deeper insights into customer interactions, ultimately improving the overall customer experience. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-02165
dc.subject Detection en_US
dc.subject Emotional Intensity en_US
dc.subject Speech and Content Analysis en_US
dc.title Detection of Emotional Intensity from Speech and Content Analysis en_US
dc.type Project Reports en_US


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