Inspiration:
Give an insight and edge to cab users to find the best time and day to book their travels, saving money.
What it does
Levearges Machine Learning trained on past Uber and Lyft data, along with other impactful data sets such as weather and traffic to give out surge price prediction and best travel time for lowest fares.
How we built it
Trainable on Two Python Machine Learning models; RandomForest and xgBoost to give out Surge Price Predictions and best travel times for riders to save money.
Challenges we ran into
Finding and propagating Data Sets, training and accuracy of models.
Built With
- api
- machine-learning
- python
- streamlit
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