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Number-of-Vehicles-Prediction-in-Besiktas-Using-Neural-Networks

Streamlit App

App Link : https://numberofvehiclesprediction.herokuapp.com

Traffic Data : https://data.ibb.gov.tr/dataset/saatlik-trafik-yogunluk-veri-seti (2020.01.01 - 2020.12.27)

Weather Data : https://www.worldweatheronline.com

It is a little project that aims to predict the number of vehicles in different places of Besiktas,Istanbul.

Coordinates Used

No Latitude Longitute
1 41.0421752929688 29.0093994140625
2 41.0476684570312 29.0093994140625
3 41.0366821289062 28.9984130859375
4 41.0531616210938 29.0093994140625
5 41.0586547851562 29.0093994140625
6 41.0476684570312 28.9874267578125
7 41.0421752929688 28.9874267578125
8 41.0366821289062 28.9874267578125
9 41.0311889648438 28.9874267578125
10 41.0586547851562 28.9984130859375
11 41.0641479492188 29.0093994140625
12 41.0476684570312 29.0203857421875
13 41.0421752929688 28.9984130859375
14 41.0476684570312 28.9984130859375
15 41.0531616210938 28.9984130859375
16 41.0641479492188 28.9984130859375

Libraries

streamlit
tensorflow-cpu
keras
folium
pandas
numpy
sklearn
matplotlib
seaborn
plotly
streamlit-folium
wwo-hist

Slug size was more than 500 MB so I used tensorflow-cpu to decrease it. Maybe I can deploy the project with Docker later.

runtime.txt

python-3.7.10

License MIT