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android-controlled-robot-car

In this project we are going to build an Android Phone controlled robot using 8051 microcontroller and Bluetooth module. The robot is designed using DC motors and the direction of DC motors will be controlled by the commands received from the android application. The status of the robot is sent back to the Android app. This project will also help for interfacing of HC-05 Bluetooth module with 8051 microcontrollers. The car is controlled by using Android mobile phone instead of any other method like buttons, gesture etc. Here we only needs to type the letter “f”, “b”, “l”, “r” and “s” in android phone to control the car in forward, backward, left, right directions and to stop respectively. So here android phone is used as transmitting device and Bluetooth module placed in car is used as receiver. Android phone will transmit command using its in-built Bluetooth to car so that it can move in the required direction like moving forward, reverse, turning left, turning right and stop.

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day-19-interfaces

Objective Today, we're learning about Interfaces. Check out the Tutorial tab for learning materials and an instructional video! Task The AdvancedArithmetic interface and the method declaration for the abstract divisorSum(n) method are provided for you in the editor below. Complete the implementation of Calculator class, which implements the AdvancedArithmetic interface. The implementation for the divisorSum(n) method must return the sum of all divisors of . Input Format A single line containing an integer, . Constraints Output Format You are not responsible for printing anything to stdout. The locked template code in the editor below will call your code and print the necessary output. Sample Input 6 Sample Output I implemented: AdvancedArithmetic 12 Explanation The integer is evenly divisible by , , , and . Our divisorSum method should return the sum of these numbers, which is . The Solution class then prints on the first line, followed by the sum returned by divisorSum (which is ) on the second line.

diabetes-prediction-using-data-mining

In this project we used different types of machine learning algorithm, and predicted that a person will be having diabetes in the future or not. And how much is it accurate given the responses that the person has diabetes.

hello

kubernetes-deploy-tutorial

This code is made for my youtube channel and corresponding to video given below

playjenkins

Jenkins Playground

python-flask-docker-image

This repository is about creating a docker image for flask container

smart-farm-using-arduino

An IoT based Smart Farm which monitors the soil moisture, temperature,humidity,sunlight and process the data to turn on/off various appliances and sending data on a particular website or cloud from where we can monitor it.

student-dropout-predictor-using-machine-learning

To develop a inferential model in order to study the relationship of various psycho-graphic and lifestyle attributes with the grades of a student. Here we apply techniques such as correlation coefficients, data visualization, t-test etc. To develop a classification model that predicts whether a student will drop out or not based on several psycho-graphic and lifestyle attribute.

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