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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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Issue Published : 115
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| Paper Title: | Video Chat AI |
| Authors Name: | Sobanaa V , Saravanan R , Sukesh N , Mohan S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202039
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| Published Paper Id: | IJRTI2504070 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This paper presents the design and implementation Video Chat AI project combines artificial intelligence, natural language processing (NLP), and video analysis to create an interactive platform for engaging with video content. The system processes uploaded videos, analyzes their content, and responds to user queries. Without video, it functions as a chatbot for general queries. It also suggests relevant questions to reduce typing effort and streamline interactions.The system uses AI models for speech-to-text (OpenAI Whisper), object detection (YOLOv5), and OCR (Tesseract) to analyze video content. NLP models like BERT and GPT-4 process user queries, maintaining context in multi-turn conversations. Summarization models, such as Vid2Seq and SUM-GANs, generate concise summaries.Applications span education, healthcare, media, corporate training, and customer support. It aids students with lecture videos, provides healthcare insights, helps users understand complex media content, supports employee training, and answers customer queries based on demo videos.Challenges include handling low-quality videos, understanding domain-specific knowledge, and maintaining real-time performance for large files. Future improvements will focus on multimodal learning, real-time processing, and refining suggested responses. Video Chat AI enhances user interaction with video content, offering an intuitive and informative experience that has the potential to transform multimedia engagement across various industries. |
| Keywords: | Video Analysis, NLP, Conversational AI, Speech-to-Text, Object Detection, OCR, Summarization, Real-Time Interaction, Question Suggestions, Content Comprehension, and Response Accuracy, Video Understanding, Personalized Analysis, Knowledge Transfer, Adaptive Responses, Sentiment Analysis,Automated Video Insights. |
| Cite Article: | "Video Chat AI", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a514-a521, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504070.pdf |
| Downloads: | 000358 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504070
Registration ID:202039
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a514-a521 Country: Coimbatore, Tamil Nadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504070 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504070 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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