INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
ChatGenie is an autonomous chatbot that uses Artificial Intelligence (AI) to converse with users and generate images. It leverages OpenAI's API for text generation and DALL-E API for image generation. ChatGenie also incorporates AI detection to identify if the text input is generated by a machine or a human. The chatbot is designed to provide users with an engaging and personalized experience by understanding their queries and generating relevant responses. ChatGenie can converse with users on a wide range of topics, such as weather, news, entertainment, and sports, among others. In addition to text generation, ChatGenie can also generate images based on user queries, using DALL-E's state-of-the-art image generation capabilities. The images are tailored to the user's input and can range from realistic to abstract, depending on the context. To ensure the authenticity of the conversation, ChatGenie incorporates AI detection to identify if the text input is generated by a machine or a human. This helps in building user trust and ensuring that the chatbot is transparent in its functioning. Overall, ChatGenie is an innovative chatbot that provides a unique user experience by leveraging the power of AI for both text and image generation, while also ensuring authenticity and transparency in its interactions.
Keywords:
Artificial Intelligence (AI), Text generation, Image generation, AI detection.
Cite Article:
"ChatGenie – An autonomous chatbot using AI with AI Detection and Image Generation", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d610-d621, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305377.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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