-
Asset tracking
-
Risk heatmap visualization
-
AWS Cloud Architecture
Freight Rate Mate
Project Overview
- Dynamic visualization of truck location data
- Crash risk heat map
- Real-time machine learning based predictive analysis
- Enables carriers and truckers to connect through SMS messaging directly availiable in our interface
Predicting and visualizing trucking risks using machine learning.
Why is insurance important to truckers?
- Insurance rates can be upward of $16,000 per year
- By knowing high risk factors, insurance companies can provide incentives for truckers to avoid high risk areas
- Our tool is also useful for carriers because it allows them to view information about their fleet and send drivers SMS messages directly from the interface
Tools Used:
- AWS
- Amazon Lambda
- Amazon API Gateway
- Amazon SNS
- Amazon Machine Learning
- Amazon S3
- Scikit-learn
- XGBoost
- Numpy
- Pandas
- Matplotlib
- MapBox
Log in or sign up for Devpost to join the conversation.