Data Analysis and Prediction for Electric Vehicle

This project, developed during my "Introduction to Big Data Analytics" course, consists of two main parts: 1. Analyzing data to confirm the growth trends and environmental benefits of electric vehicles (EVs), and 2. Predicting the required number of EV charging stations in specific regions using global data, serving as a prototype for future products. My contributions included full-stack web development, data analysis, DNN model creation, and data visualization.

My Contribution

Conducted full-stack web development including DNN predictive model and one-page web building.
Established the commercial value of the EV market.
Visualized data for readability.

Final Presentation Slides

Final Presentation DEMO

Insight from data

Learned to estimate the business value of a project through surveys and calculations.

UI / UX

Built a user-friendly website with easy navigation, applying self-learned UX/UI concepts.

Model Deploying

Deployed the self-trained model on a self-built website using Python Flask.