Cryptocurrency-Price-Analysis-using-AI

Designed and implemented a machine-learning solution to predict cryptocurrency prices using historical market data and AI-driven techniques, and built a Django-based web application that delivers real-time forecasting, interactive visualizations, and user-friendly insights. Applied the Random Forest algorithm for predictive modeling to ensure accurate and reliable results.

Tools & Technologies: Python, Django, Random Forest Algorithm, XAMPP.