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CONVERSATIONAL IMAGE RECOGNITION CHATBOT SYSTEM
The Conversational Image Recognition Chatbot is an intelligent webbased application designed to analyze uploaded images and provide accurate responses to user queries using Artificial Intelligence. Traditional image recognition systems generally identify objects but fail to support natural language interaction, making it difficult for users to obtain detailed contextual information about an image. To overcome this limitation, the proposed system integrates advanced vision-language capabilities that enable users to upload an image and ask questions in conversational language, receiving meaningful and context-aware responses. The system is developed using HTML, CSS, JavaScript, and Flask for the user interface and backend, while SQLite is used for user authentication and data management. Google Gemini VisionLanguage Model serves as the core AI engine for image understanding and natural language response generation. The system employs image preprocessing, visual feature extraction, and promptbased conversational reasoning to interpret image content and generate accurate answers. This application can be used in education, accessibility support, smart assistance, healthcare, retail, and content analysis, where users require quick and interactive understanding of visual information. By combining computer vision with conversational artificial intelligence, the proposed chatbot provides an efficient, user-friendly, and scalable solution for intelligent image analysis and human-computer interaction.
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