Fixes #717 Taxi Fare prediction #723
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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review! |
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Nov 2, 2024
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🎉🎉 Thank you for your contribution! Your PR #723 has been merged! 🎉🎉 |
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Related Issues or bug
In the current taxi and ride-hailing services, fare estimation often lacks accuracy due to variable factors like trip distance, time of day, and traffic conditions. This unpredictability can lead to customer dissatisfaction and distrust. This project aims to develop a reliable predictive model that learns from historical data, offering more accurate fare estimations and enhancing user experience in ride-hailing platforms.
By using a deep learning model, this solution leverages Keras to capture complex patterns in fare data, ultimately helping to provide transparent, accurate, and scalable fare predictions.
Fixes: #717
Proposed Changes
Added up a new ipynb File with a Readme.md File