• Ayesha Aara Mohammed Aziz
• Bushra Anam Mohammad Shakir
• Sarala Manoj Dahake
• Premkumar G. Dhanokar
• Prof. M. Rajput

Cryptocurrency price prediction has been a complex challenge due to the highly volatile nature of digital assets. Traditional forecasting methods often rely on statistical models and technical analysis, which struggle to capture the nonlinear patterns and sudden market fluctuations in cryptocurrencies. Existing systems primarily use regression models, simple moving averages, or rule-based techniques, which lack the ability to learn from deep historical trends and often fail to provide accurate short-term predictions. Additionally, many of these approaches do not offer interactive and real-time visualizations, limiting their usability for traders and investors. To address these limitations, our proposed system leverages machine learning, specifically Long Short-Term Memory (LSTM) networks, to analyse historical Bitcoin price data and predict future prices. The LSTM model is trained using a time-series dataset collected from the Yahoo Finance API, pre-processed with Min Midscale to normalize the data, and structured into sequences for better learning. The model is then integrated into a Flask-based web application, allowing users to input the last 60 days’ closing prices and obtain accurate predictions for the next 10 days. Additionally, real-time graphical representations of historical trends and predicted prices are provided for better decision-making. By utilizing deep learning and interactive visualizations, our system offers a more robust and user-friendly approach to cryptocurrency price forecasting, making it valuable for investors, traders, and financial analysts.

Big Five Personality Model, Feature Analysis, Predicting Personality, Personality Traits

"Result on Web based Cryptocurrency price prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.e82-e86, March-2025, Available :http://www.jetir.org/papers/JETIR2503424.pdf

"Result on Web based Cryptocurrency price prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppe82-e86, March-2025, Available at : http://www.jetir.org/papers/JETIR2503424.pdf