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ADITYASHAH-IITP

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IoT-based-Smart-Irrigation-System

In this Project, I will work with Smart irrigation System that has wide scope to automate the complete irrigation system. Here I will be building an IoT based Irrigation System using ESP8266 NodeMCU Module,Arduino Uno , Soil Moisture Sensor Module and DHT11 Sensor. It will automatically irrigate based on the moisture level in the soil, Temperature and Humidity of ambient and also send the Data to ThingSpeak Server to keep track of the land condition. The System also consist of a water pump module which will be used to sprinkle water on the land depending upon the land environmental condition such as Moisture, Temperature and Humidity.

GESTURED-CONTROLLED

This project objective is to recognize the gesture of the fingers here assumed as individual flex sensor. With the curl of fingers, the graphical LCD display o or I, which signifies open or closed fingers

C++

LDR-as-a-lux-sensor

Using LDR as a lux sensor a.Signal processing of LDR as a sensor b.ADC of the signal c.Digital filtering –smoothing (Low pass digital filter) d.Calibration using Android phones lux sensor.DC motor Speed and Position Control using POT and PWM

Configuration-Space-C-Space--WorkSpace-RoboWorld-of-Two-Arm-Manipulator

For a two-arm manipulator with two revolute joints I have wrote a code in Matlab to do the following. 1.Draw the robot world to display the robot and some polygonal obstacles 2.To generate the robot end-effector workspace. 3.To generate the configuration space and display the configuration space obstacles.

Spring-Mass-Dynamic-Response-Visualization.

Understanding Mechanical System and the importance of various terms like stiffness, damping coefficient and many others parameter of system and understanding its impact on System response dynamically, will help us to learn a lot .All this are demonstrated by an MATLAB App.

DUAL-AXIS-SOLAR-TRACKER

Implementation of a system (solar tracker)that is capable of adjusting its position according to maximum intensity of light falling perpendicular to it.

Hydraulics-and-Pneumatic-Circuits

To learn the following : -<br>1. Actuate one double acting cylinder using AND gate (to and fro can be any actuation/return type) using single DCV (free to choose any). 2. Simultaneously expand two double acting cylinders (retraction can be any) using air pilot valve. 3. Make a circuit of retention switch using push button (Hint: Use relay) 4.Expand single double acting cylinder using relay and retraction can be any way 5. Actuate two double acting cylinders in which 2nd one should start expanded once the 1st one fully expanded and both should retract automatically after both cylinders got expanded.

HandWritten_Digit_Recognition

MNIST Handwritten Digit Recognition

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AutoEncoders

Create a Recommender System that predicts ratings from 1 to 5.We will implement it using Stacked AutoEncoders model with PyTorch, a highly advanced Deep Learning platform more powerful than Keras.

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Potential-Field-Approach

Learn about Path Planning Using Potential Functions. Report is provided giving all details regarding the model and all parameter needed to be tuned.

CNC-G00-and-G01-Implementation

G-->Address for preparatory commands -->G commands often tell the control what kind of motion is wanted (e.g., rapid positioning, linear feed, circular feed, fixed cycle) or what offset value to use.

Anomaly-Detection-in-Room

Use z-score analysis to find out anomalous behavior in the room by analyzing the condition of the light in your room.

Temperature-Monitoring-System

➢ Learn how to interface the LM35 sensor with Wi-Fi based Microcontroller module ➢ Recording the temperature using this sensor. ➢ Learn how to send alerts via E-mail, SMS and Telegram Channel when the temperature value crosses a threshold.

PLC

Learn Logic behind building circuit for Pneumatic and Hydraulic system.

GauGAN2

Create a visual masterpiece, by your verbal creativity!

Recurrent-Neural-Networks

Recurrent Neural Networks represent one of the most advanced algorithms that exist in the world of supervised deep learning.

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IR-based-motor-control

Control a DC Motor remotely using IR Remote

C++

Cell-Decomposition

Cell Decomposition-Matlab Implementation

Artificial-Neural-Network

Artificial Neural Network --> Learn to see how ANN can be used to predict ,whether a customer will leave the bank or not based on certain features as input.

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IRIS_Dataset_Classfication

Iris plants dataset

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EMU8086---THE-MICROPROCESSOR-EMULATOR

To learn about 8086 - MICROPROCESSOR using the EMU8086 MICROPROCESSOR EMULATOR

Image-Classification

CIFAR-10 Photo Classification

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Convolutional-Neural-Networks

Learn how to train our model to differentiate between dogs and cats using CNN.

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Boltzmann-Machine

Learn about Recommender Systems: One that predicts binary ratings "Like" or "Not Like", # Boltzmann Machine.

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Predict-Room-Temperature

Using polynomial fit with the Cloud retrieved sensor data to predict what the temperature in our room is going to be.

Measure-of-Diabetes-progression

A quantitative measure of disease progression one year after baseline

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Robot

Learn how a robot interacts with the environment using proximity sensors and how it keep itself on track , in the given path.

Self-organizing-map

Using this unsupervised learning technique we will learn how to predict the Fraud Customer of a bank and also check which of the customer of this fraud list ,have been given approval by bank.

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Vertically-base-excited_InvertedPendulum

Dynamically stabilizing an Inverted Pendulum and demonstration using MATLAB.

Fashion-Entity-Classification

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

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