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@article{189948,
        author = {Rajavi Mhatre and Yash Patil},
        title = {Crypto Connect: An Intelligent Cryptocurrency Prediction and Conversational Assistant System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {6498-6499},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189948},
        abstract = {Cryptocurrency markets are marked by significant volatility, scattered information sources, and intricate analytical demands. Retail investors frequently do not have the technical skills and resources needed to analyze market trends accurately. Crypto Connect is suggested as a smart cryptocurrency forecasting and chat-based assistant platform that merges machine learning-driven price predictions with a natural language chatbot interface.
The platform allows users to access real-time information about cryptocurrencies, forecasting insights, and learning support from a single source. Through the integration of predictive analytics and conversational engagement, Crypto Connect enhances accessibility, usability, and decision-making effectiveness for both beginner and intermediate cryptocurrency users.},
        keywords = {Digital Currency, Algorithmic Learning, Value Forecasting, Conversational Agents, Distributed Ledger Technology, Smart Technology},
        month = {January},
        }