Exploratory data analysis of electric vehicle infrastructure
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Updated
Feb 18, 2021 - HTML
Exploratory data analysis of electric vehicle infrastructure
An intelligent API which is capable of passively tracking gyroscopic data to classify sobriety level in real-time that will help minimize risks of drunk-riding accidents for e-scooter sharing systems.
Geographical data for Miami's E-Scooter Program. Maintained by the Miami Riders Alliance, a nonprofit.
REST API for SparkRentals. Programmed with NodeJS and Express. Using MongoDB Local as database.
Web client for SparkRentals. Programmed in React.
Arduino based spot welder controller for 18650 cells
Whole project of V-team - SparkRentals
Scooter simulator for SparkRentals. Programmed in JavaScript. Acts as a brain for a scooter that takes and send querys to the database with information.
A mobile app for SparkRentals. Programmed with React Native.
Use AWS Lambda to Pull E-Scooter and E-Bike Location Data, store in S3 & Redshift using Data Vault Data Model, Server to Google Data Studio Dashboard
Web application for renting electronic scooters.
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