Building IoT or Mobile solutions are fun and exciting. This year for Build, we wanted to show the amazing scenarios that can come together when these two are combined. So, we went and developed a sample application. MyDriving uses a wide range of Azure services to process and analyze car telemetry data for both real-time insights and long-term patterns and trends. The following features are supported in the current version of the mobile app.

Google made it nearly impossible to copy a folder structure from mydrive to a shared drive. Problem solved with Google App Script and the Google Drive API.

[项目]驾照轻松考/新开项目

Mydrive hackday machine learning MNIST with data set, iOS client for drawing prediction

Mydrive is a python and javascript based website using Django API to store files and directories on the server and optionally make them public for other users to be accessed.

MyDrive Solutions' Campfire bot, in Clojure

Copy Shared Drive to MyDrive Free - Unlimited Backup Google Drive using Colab

MyDrive is a fast, minimal file storage platform built with Next.js, Clerk, and ImageKit. It focuses on smart file organization, secure uploads, instant previews, and a clean, clutter-free user experience—solving real pain points in mainstream cloud storage tools.

MyDrive Organisation Pages

MyDrive package for YunoHost

The chain of MYDRIVE

MyDrivingScore App ( link : Api Admin website)

Open Source cloud file storage server (Similar To Google Drive) Host myDrive on your own server or trusted platform and then access myDrive through your web browser. MyDrive uses mongoDB to store file/folder metadata, and supports multiple databases to store the file chunks, such as Amazon S3, or the Filesystem.

Run the Summarization Script: Use the provided Python script to summarize a PDF document. Replace your_pdf_file.pdf with the path to your PDF file. python summarize_pdf.py --pdf_path /content/drive/MyDrive/your-folder/your_pdf_file.pdf Customize Summarization: You can customize the summarization process by adjusting parameters in the scripting.

2.15 KB from keras import datasets, Sequential from keras.layers import Conv2D, Dense, MaxPooling2D, Flatten import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix import numpy as np from keras.utils import np_utils from keras.datasets import cifar10 import matplotlib.pyplot as plt from tensorflow.keras.optimizers import Adam from keras.preprocessing import image from keras.preprocessing.image import load_img, img_to_array,array_to_img,ImageDataGenerator import numpy as np import os import cv2 as cv dir_folder = '/content/drive/MyDrive/Train/fruits/Train' path_img = [] labels = [] x_train = [] y_train = [] x_test = [] y_test =[] # tạo lí tạo dữ liệu training for i in os.listdir(dir_folder): path = os.path.join(dir_folder, i) labels.append(str(i)) for j in os.listdir(path): path_img.append(os.path.join(path,j)) y_train.append(labels.index(i)) img = image.load_img(os.path.join(path, j), target_size=(100,100)) img = img_to_array(img) img = img.reshape(100,100,3) img = img.astype('float32') img = img/255 x_train.append(img) #xử lí dữ liệu training x_train = np.array(x_train) y_train = np.array(y_train) y_train = np_utils.to_categorical(y_train, 11) #tạo model model = Sequential() model.add(Conv2D(filters=32, kernel_size=(10,10), activation='relu', kernel_initializer='he_uniform', padding='same', input_shape=(100,100,3), strides=(2,2))) model.add(MaxPooling2D(2,2)) model.add(Conv2D(filters=64, kernel_size=(2,2), activation='relu', kernel_initializer='he_uniform', padding='same')) model.add(MaxPooling2D(2,2)) model.add(Flatten()) model.add(Dense(1028, activation='relu',input_shape=(30000,), name='layer1')) model.add(Dense(1028, activation='relu', name='layer2')) model.add(Dense(512, activation='relu', name='layer3')) model.add(Dense(11, activation='softmax', name='layer4')) model.summary() model.compile(loss='categorical_crossentropy', optimizer=Adam(), metrics=['accuracy']) history = model.fit(x_train,y_train,epochs=10)

A Hubot-based campfire bot for MyDrive

MyDriving

Code for MyDriving Service

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MyDrive Clone

MyDrive

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MyDrive App

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MyDrive repo

Source code for building my own MyDriving solution

MyDrive Gallery

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