Due to a lack of timely market data and a dependence on extinct forecasting methods, the Sri Lankan tea industry faces difficulties in effectively anticipating tea prices before harvest. This leads to uncertain pricing, which affects exporters' profitability and farmers' financial stability. To build a system to solve this problem, requires careful consideration of several key factors. Which include, global demand and supply, local weather patterns and currency exchange rate. PredicTea is an AI powered tool designed to forecast tea prices using data-driven insights. It analyzes historical trends, market conditions, and external factors like currency fluctuations and weather indicators to provide accurate price predictions. The goal is to help tea industry stakeholders, such as farmers, traders, and exporters, make informed decisions about production, sales, and negotiate better deals by anticipating market fluctuations. PredicTea is carefully designed using modern technologies to ensure accuracy, efficiency, and a seamless user experience. At its core, it is built with technologies like React, NodeJS, MongoDB and Python providing a smooth and interactive interface where users can explore tea price forecasts, access customizable reports, and analyze price trend charts. Every element of the interface is designed with simplicity in mind, allowing tea exporters and brokers to access insights effortlessly.