Taxi Demand
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we are currently working on a project which estimates the count of pickups that might happen, for a given instance of time and location. The core idea is to ensure a balance between the count of cabs and demand. Thus, better service can be provided for the customers by reducing the delay. ...learn more
Project status: Concept
Intel Technologies
Intel Opt ML/DL Framework
Overview / Usage
Currently, this project is looking forward to analysing real-time data of past two years which accumulates to almost 24GB. when this project goes into production, our aim would be to offer a good latency system that can operate in small amounts of time.
Methodology / Approach
we are highly focused on solving a high-level problem at a granular level by referring to certain hotspots of pick-ups, w.r.t time. Since the model aims to provide a low latent system we are looking forward to choosing one such model. We are currently working on ensemble algorithms like Bagging(Bootstrapping and Aggregation). We need to check for other alternatives and choose an appropriate one.
Technologies Used
This is Artificial Intelligence project which runs behind the ideas of Machine Learning and DeepLearning.Thus we do use packages like pandas,tensorFlow, statsModel, other Regression models.