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Paper Title

ChatGenie – An autonomous chatbot using AI with AI Detection and Image Generation

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Registration ID: IJNRD_195022

Published ID: IJNRD2305377

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Keywords

Artificial Intelligence (AI), Text generation, Image generation, AI detection.

Abstract

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.

How To Cite (APA)

Pranav Satav, Mrunal Bhosale , Sankalp Thube , & Niranjan Fartare (May-2023). ChatGenie – An autonomous chatbot using AI with AI Detection and Image Generation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d610-d621. https://ijnrd.org/papers/IJNRD2305377.pdf

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Paper Reg. ID: IJNRD_195022

Published Paper Id: IJNRD2305377

Research Area: Engineering

Author Type: Indian Author

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305377.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305377

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