Smart Talkative Camera: A Deep Learning Based Interactive Visual Assistance System
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Smart Talkative Camera: A Deep Learning Based Interactive Visual Assistance System
Submitted By
Mr. Mrunal Kubade PRN No. 220105231044
Mr. Mustafa Samplewala PRN No. 220105231045
Mr. Sudeep Pramanik PRN No. 220105231046
Mr. Atmik Aher PRN No. 220105231047
Under the Guidance of Asst. Prof. Sanket Bhangore Feb, 2026-27
Department of Computer Science and Engineering School Computer Science and Engineering Sandip
University
[Nashik, India]
Abstract
Recent developments in artificial intelligence and computer vision have enabled intelligent systems capable of interpreting visual information and interacting with users. Conventional camera systems capture images without providing contextual understanding or feedback. This paper proposes a Smart Talkative Camera, an AI-powered interactive visual assistance system that performs real-time objectdetection and provides voice-based responses. The system integrates convolutional neural networks for object recognition with text-to-eech technology for user interaction. A deep learning model trained on standard datasets detects objects and generates descriptive audio output. Experimental evaluation demonstrates high detection accuracy and low response latency. The proposed system can be used in assistive technologies, smart environments, and security monitoring systems. The results indicate that integrating computer vision and speech interaction significantly improves human–machine communication.
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