Flutter-Based Cross-Platform Data Visualization of Real-Time Road Incident Analysis & Prediction

Due to the proliferation of digital technologies and interconnected systems, the production of data is growing at an astounding rate. As a result, the sheer volume and complexity of data make it incredibly challenging to read and interpret for a human. In addition, the continuous flow of data presents even more significant challenges in terms of processing, analyzing, and interpreting the information. To resolve this issue, visualization of data can be the key to making sense of a complex set of data. Furthermore, data visualization plays a vital role in representing a real-Time stream of data. In this paper, the flutter framework is used to interpret real-Time data and visualize it across platforms. Furthermore, 3 machine learning algorithms are used to predict the contributing factors of these incidents, also to evaluate which model is performing better. The results of the predictions as well as visualization are shown in different charts. The charts offer a snapshot of the Realtime data in an organized manner which gives the user an immediate insight.