Trading Platform with AI Chabot

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Description

Trading Platform with AI Chabot

Dr. Rasmi A, Vedant Tiwari, Hamsaveni BM, Dhiraj Sardar, Srijeeb Biswas.

1Associate Professor,2Final year student,3Final year student,4 Final year student

Department of Information Science Engineering. RR Institute of Technology. Bengaluru

Abstract

With the exponential growth of cryptocurrency adoption worldwide, there is a rising demand for trading platforms that are not only secure and functional but also intuitive for beginners. Existing platforms often present overly complex interfaces and lack real-time, intelligent assistance. This paper presents a Trading Platform integrated with an AI Chabot, developed using modern web technologies such as ReactJS, Tailwind CSS, Spring Boot, and MySQL. The system enables users to buy and sell cryptocurrencies like Bitcoin using real-time pricing data from CoinGecko and Gemini APIs. Secure transactions are facilitated through Razorpay and Stripe integrations. The platform incorporates robust security features including email-based OTP and two-factor authentication (2FA). To assist users effectively, the platform includes an AI Chabot capable of answering crypto-related queries and guiding users through the trading process. Additionally, it offers comprehensive portfolio management with live dashboards and transaction histories. This research aims to bridge the usability and knowledge gap between novice users and the crypto market by delivering a scalable, intelligent, and user-friendly trading ecosystem.

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