karim fathallah's repositories
AERQ
Indoor air quality monitor
automatants
All scripts of my trainings for the AI association of CentraleSupelec : "Les Automatants"
daraja
Daraja API tutorial using django/python in backend and React Native on frontend
designing-microservices-with-django
Source Code for 'Designing Microservices with Django' by Akos Hochrein
django-microservice
Designing microservice with Django REST Framework + MongoDB + Docker
edge
LoRaWAN Camera with STM32WLE5JC & OV7670 :camera:
fire-detection
Fire detection using customized basic CNN and InceptionV3 model.
fire-detection-system-in-python-opencv
A simple computer vision prototype to detect fire in digital images/videos.
forest-fire-area-prediction
This project aims to predict the burned area of forest fires in the northeast region of Portugal, using meteorological and soil moisture data.
Forest-Fire-Prediction
Algerian Forest Fire Prediction Principale avec Flask
forest-fire-prediction-2
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Forest-Fires-Prediction
Machine Learning Project
ForestFirePrediction
Forest FirePrediction using Machine learning. Based on the logistic regression classifier the model has been trained to predict the occurance of forest fire.
Leaflet-Basic
This contains basic codes on leaflet programming. It includes some important plugins of leaflet & some other different technique for analysis the map.
Leaflet.draw
Vector drawing and editing plugin for Leaflet
LoRa-E5-Breakout
LoRa-E5 Breakout board
lorawan-server
Compact server for private LoRaWAN networks
Project_planet_on_fire
Live wild fire data visualization, historical data analysis, future fires prediction based on Machine Learning model
PyChain
A simple full-stack blockchain and cryptocurrency project built with Python, Django framework & ReactJS
Seeed-LoRa-E5
LoRaWAN end node built from scratch using CubeMX for WLE5x in the LoRa-E5
Youtube-apprendre-le-deeplearning-avec-tensorflow
Ce repo contient les codes développés dans le cadre de ma série de vidéo sur Youtube pour apprendre à coder en python en utilisant Tensorflow afin de réaliser des tâches de Deep Learning.