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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

actionai

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

ai-in-xavier-nx

In this new repository, I will be tracking all the AI programs I will be building and deploying on Xavier NX with 2 cameras

ai-on-jetson-nano

I have created a series of programs using NVIDIA Jetson Nano, Pi Camera and Logitech Web Camera. I installed OpenCV version 4 along with Python 3 to create these sample programs

ai-surveillance-in-jetson-nano

In this repository I will be documenting each steps to build a AI-Surveillance application on Jetson Nano

anbukumar-maker

Config files for my GitHub profile.

arduino-based-text-to-speech-tts-converter

Text-to-speech or TTS system converts normal text into Speech. This tech enables the system to speak out the text in a human voice. There are many examples of Text to Speech conversions like the announcements at public transport, the customer care calls, voice assistants in your smartphones, or the navigation menu of any machine. You can even find the TTS in Microsoft Word where you set it to speak out the text written in the document.

arduino-sensor-libraries

In this repository I will maintain all the sensor libraries

arduino-sensor-projects

In this repository I will maintain all the codes for different types of sensors to be connected to Arduino and read the sensor inputs

arduino-whistel-switch

detect whistle sound by interfacing Sound Sensor with Arduino and when a whistle is detected we will toggle an AC lamp through a relay.

artificial-neural-network-using-jetson-nano

This ia a new project I intend to build a neural network with my own algorithms for object classification and detection

autonomous-robot

Here I will be creating multiple projects on Autonomous Robot with codes and hardware configurations

bba-hrms

Web based HRMS system for BBA

biometric-voting-machine

In this project, I am going to build a prototype of a Biometric voting machine using the Arduino Uno, TFT display, and Fingerprint Sensor

chatgpt-machine-learning-prompts

coding-neural-network

Learn How To Code Your Own Artificial Neural Network with Backpropagation Using Python From Scratch By Applying Supervised Learning Method for Multilayer Feed-Forward Networks

configure-a-catkin-workspace-on-jetson-nano

In this repo I will show you step by step how to setup Catkin workspace and capture data from LiDAR to visualize using RVIZ

configuring-lidar-and-ros-in-jetson-nano

I will be documenting step by step instructions to first configure LIDAR in Jetson Nano and then instructions to install and configure ROS Melodic Package in Jetson Nano

controlling-servo-motor-in-jetson-nano

I have documented each lines of code to control 16 servo motors using Jetson Nano and PCA9685

covidvaccine-availability-app

You this Python code to quickly check for vaccine availability using variables of your Age and Pin code in line number 8 and 9

deeplearning-in-esp32

Object detection and identification is one of the most important and challenging branches of computer vision, which has been widely applied in peoples’ life, such as monitoring security, autonomous driving, and so on, with the purpose of locating instances of semantic objects of a certain class. With the rapid development of deep learning networks for detection tasks, the performance of object detectors has been greatly improved. By using Machine Learning and ResNet, we can easily identify the names of the objects which we needed. For this, firstly the training data is fed to the machine and labeled it correctly based on the nomenclature. By using the Camera Module, the test data is detected and verified with the train data using the ResNet algorithm. By repeated testing of the objects, the data set is updated or deleted based on the errors made by the machine in identification. On the repeated iteration of identifying the objects correctly ie., Accuracy reaching ≥ 95%, the dataset, and the application is used in Real World for automation. For this, I use Keras, an open-source neural-network library written in Python and by using the IoT module, the identified data is transferred to the Display device wirelessly. In Real-Time, this project is used for the identification of objects with more than 95% accuracy and transmit the data from anywhere and anytime using the cloud, and completely automate the process and reduces the manpower. ESP32 : Engineered for mobile devices, wearable electronics and IoT applications, ESP32 achieves ultra-low power consumption with a combination of several types of proprietary software. ESP32 also includes state-of-the-art features, such as fine-grained clock gating, various power modes and dynamic power scaling.

deeplearning-music-recognition-project

This is a deep learning project concept. You’ll build a deep learning model that employs neural networks to automatically classify music genres. The model takes as an input the spectogram of music frames and analyzes the image using a Convolutional Neural Network (CNN) plus a Recurrent Neural Network (RNN). The system’s output is a vector of the song’s projected genres. The model has been refined with a tiny sample (30 songs per genre) before testing it on the GTZAN dataset, resulting in an accuracy of 80%.

deeplearning-using-esp32

Using ESP32, we can apply DL methods for various algorithms using Keras. Here are the steps and codes

delivery-locker-using-jetson-nano

Delivery locker is a well-known product, which is planted in the US has the capability of delivering the package to the right customer automatically by having face authentication. As a prototype of amazon locker, this locker is developed using Jetson Nano.

digit-recognition

In this project, we are going to train a deep convolutional neural network to transcribe digits. Then we are going to use the data from the learning stage to allow the Pi Camera to read and recognize digits. The AI pipeline will be implemented using Scikit and OpenCV 3.3 for image manipulation and Keras which uses Tensorflow as a back-end for the deep learning part.

dronebot---zero-to-hero

In this repository, I will document every thing related to building a Drone from scratch including circuits, codes etc

dual-servo-camera-control

Using this project code, you can control 2 Pan/Tilt mechanism (4 Servo Motors) with 2 cameras to detect various objects, human faces and execute various Artificial Intelligence applications using Deep Learning methods / Libraries

dxl-ultrasonic-car

Obstacle Avoidance Car Project Utilizing Dynamixel AX12 Motors and the Ultrasonic HC-SR04 sensor

esp32-ai-iot-robotics

In this section I will maintain all the source codes for the projects using ESP32Cam module, mainly AI, IoT and Robotics

esp32-cam-face-recognition-and-door-lock-system

In this repository I will document how to make Face Recognition based Door Lock Control system using ESP32 Camera Module and a 12V electronic lock. For the Authorized person, the onboard white LED is turned ON and also the electronic lock is opened.