REAL TIME CHAT APPLICATION AWS WEBSOCKET API

This project presents a real-time, AI-powered chatbot application that integrates Flask, Socket.IO, and Open Router’s AI models to offer intelligent conversational support across multiple domains. The system is designed with a modular architecture that allows users to engage with a virtual assistant specializing in gadget troubleshooting, healthcare guidance, or sentiment analysis. Utilizing WebSocket technology, the application achieves seamless bi-directional communication between the client and server, enabling an instant and dynamic user experience.The frontend is developed using HTML5, CSS3, and vanilla JavaScript, enriched with interactive features such as live typing animations and optional image upload. On the backend, Flask is used in conjunction with Flask-SocketIO to manage real-time events, while the OpenRouter API provides context-aware AI responses through the DeepSeek language model. The chatbot is highly customizable and serves as a scalable prototype for intelligent customer support and personal assistant systems.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-06-17
DOI
https://doi.org/10.71097/ijsat.v16.i2.6306
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

REAL TIME CHAT APPLICATION AWS WEBSOCKET API

Mithra Sathishkumar, M. S.
International Journal on Science and Technology
AI in Service Interactions
article

REAL TIME CHAT APPLICATION AWS WEBSOCKET API

Mithra Sathishkumar, M. S.
article en

Abstract

This project presents a real-time, AI-powered chatbot application that integrates Flask, Socket.IO, and Open Router’s AI models to offer intelligent conversational support across multiple domains. The system is designed with a modular architecture that allows users to engage with a virtual assistant specializing in gadget troubleshooting, healthcare guidance, or sentiment analysis. Utilizing WebSocket technology, the application achieves seamless bi-directional communication between the client and server, enabling an instant and dynamic user experience.The frontend is developed using HTML5, CSS3, and vanilla JavaScript, enriched with interactive features such as live typing animations and optional image upload. On the backend, Flask is used in conjunction with Flask-SocketIO to manage real-time events, while the OpenRouter API provides context-aware AI responses through the DeepSeek language model. The chatbot is highly customizable and serves as a scalable prototype for intelligent customer support and personal assistant systems.

International Journal on Science and TechnologyVol. 16(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 93%
AI in Service Interactions
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