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Name: Ankit kotnala
Type: User
Company: RD Engineering College
Bio: Currently working with DotPe as a Software Engineer ( Javascript ) | Javascript | React.js | Node.js |
Location: Ghaziabad
Name: Ankit kotnala
Type: User
Company: RD Engineering College
Bio: Currently working with DotPe as a Software Engineer ( Javascript ) | Javascript | React.js | Node.js |
Location: Ghaziabad
Techstack : React.js (Hooks), Html5 , css3 (flexbox)
This is a machine learning program to find out the diffrence between the apple and the orange . This code is simple to understand and It is wriiten in the language Python as we all know that python is a power llanguage so i use python library for this code i.e Scikit learn . In this code there is a use of the decicion tree to classify the diffrence between the apple and the orange . I use the FIT method to train the classifier than use the PREDICT method to predict the result . Happy learning ! #machineLearning
In this repo i have created a program which is totally based on the Machine learing . In this code i have used the sklearn library to import the tree , decisionTreeClassifier and data of the iris flower . The data of the iris flower is diffrent to each other , here we have three types of the iris flower and in corresponds we have the 50 feature for each variety of the iris flower . So that means we have total 150 extracted features from all the three kind of iris flow .Son in this we willl predict the variety of iris flowers using the data we have .
It is an android application for the face detection . The app is consist of user Experience level Here user can pick there any photo which they want to detect the face .
GDG DevFest website template
Open Event Android App Generator https://github.com/fossasia/open-event-android/raw/apk/sample-apk-fossasia17-development.apk
This is a android application . This basic functionality of this application is to read text from the Images either in a running image . In this application I have used the surface view to see the view from the camera . And In this application I have used the OCR which is meant for the Optical Character Recognisation . And for this i have use the Google Vision dependecy . Using the google vision dependency we can use the ocr class which is a predefined class in the android . The OCR work one by one in the image , It first fetches the data from the block , then it fetches the data from the line , and at the last it just break the line into the characters . Thats all . Happy learning #AI
It is an Recycler View including the search bar at the tool bar at the top or the application . And here Search bar is fully working like if you search any thing it will filter immediately your search .
This app give you some awsome features of converting your text message to the speech. In this i have used the one edit text on spinner and a button . Edit text is used to enter the text and spinner is used to select the frequency of speaker . Thars the great thing about the app is you can manage your output frequency either sloweer or faster. Inside the java file i have used the predifined TextToSpeech class to operate with the text .
The traffic toll tax controller in which the number plate of vehicle is scanned at the toll booths without slowing or stopping the vehicle but using Optical Character Regcognization (OCR) to get the vehicle number and we AUTOMATE the system to point to the database where information of the vehicle like number/owner/aadhar/wallet is stored using BLOCKCHAIN in an interactive BLOCKCHAIN-WALLET for easy and secure transactions.
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