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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48706
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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.
KEYWORDS
Publication Date
5/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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