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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58845

Cryptosden: An AI-Based Cryptocurrency Informative and Analytical Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58845

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58845

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.

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Authors

CS

Chakravaram Sunitha

BK

Bangaru Karunakar

AV

Abhishek Veernapu

JSN

Jakkula Sri Niharika

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Abstract

The continuous expansion of the cryptocurrency market has intensified the demand for intelligent, trustworthy, and user-centric analytical platforms. Cryptosden is a comprehensive MERN-stack (MongoDB, Express.js, React, Node.js) web application engineered to overcome the shortcomings of existing cryptocurrency platforms by providing a centralized, secure, and highly informative hub for both novice and experienced users. The platform delivers dynamically updating crypto values sourced from the CoinGecko API, enabling users to monitor over 3,000 digital assets in real time across four fiat currencies — USD, INR, EUR, and GBP. Cryptosden distinguishes itself through four proprietary AI-powered modules: a composite Coin Trust Score that evaluates market health across six weighted data streams; an Emotional Volatility Index (EVI) that quantifies collective community sentiment; a Gated Recurrent Unit (GRU)- based Price Prediction Engine that forecasts coin prices over four time horizons using 13 engineered technical features; and a parallel Anomaly Detection and Whale Alert System employing Z-score statistics, Isolation Forest machine learning, and blockchain transaction monitoring. A Gemini-powered AI chatbot further assists users in interpreting complex market signals in natural language. The platform targets retail cryptocurrency participants who need consolidated analytical intelligence to make informed buy, sell, or hold decisions — without the system providing direct financial advice. This paper presents the full architecture, AI algorithms, experimental results, and comparative evaluation of Cryptosden.

KEYWORDS

Cryptocurrency analytics GRU price prediction Emotional Volatility Index Anomaly detection Whale alerts MERN stack Trust Score Isolation Forest VADER NLP Gemini AI chatbot.

Cite This Article

Chakravaram Sunitha, Bangaru Karunakar, Abhishek Veernapu, Jakkula Sri Niharika, "Cryptosden: An AI-Based Cryptocurrency Informative and Analytical Platform," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM58845

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Publication Date

2/3/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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