Delivery Time Predictor

Inspiration

At its core, the Time Delivery System harnesses the power of data-driven insights to optimize every step of the delivery journey.

What it does

The food delivery time predictor is a sophisticated feature within the Time Delivery System that utilizes a combination of advanced technologies and data analytics to estimate and communicate the expected delivery time of a customer's order.

How we built it

The implementation is done using python and the machine learning algorithm used is recursive neural network along with long-short-term memory network.

Challenges we ran into

Choosing what machine learning algorithm will be optimal made us look through a lot of available regression algorithms that we have. Also, Experimentation and analysis part in deciding the hidden layer intricacies was very time consuming and understanding how "RNN" works was a task.

Accomplishments that we're proud of

Looking through a lot of algorithm options we got to know what model can be implemented. on what kind of problem statement which is a good concept building exercise to practice.

Built With

• geopy
• google-colab
• jupyter
• kaggle
• keras
• numpy
• pandas
• pyplot
• python
• seaborn
• sklearn