QueuePredict

Inspiration

We lose so many time and energy waiting for our turn in queues in post offices, especially here in Algeria.

What it does

Our solution to this problem is predict the estimated waiting time for each nearby post offices to a given location at a given date at a given hour, and recommends to the user the most efficient post office.

How we built it

We implemented a Time Series model and probabilities for our prediction to work, using relevant technologies such as python, node.js and react native

Challenges we ran into

-from python to node.js -google API with react -miss-interpreted the problem at the beginning and used a wrong machine learning method (MLR)

Accomplishments that we're proud of

-innovative logo -complete prototype -created a model -finished 90% of the project

What we learned

-team management -time management -problem solving -brainstorming -errors detection -time series -queering theories

What's next for QueuePredict

-generalizing the model for different services (hosptials, town hall and everything that contains a queuing problem) -improve precision of our model -collect data from companies (each hour. logs of number of people who used the service)

Built With

• figma
• javascript
• jupiter
• node.js
• python
• react