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Iot and ml projects github. py) to build and save the ML model, and a Flask .
Iot and ml projects github. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. It sends real-time data to ThingSpeak, enabling remote tracking. The project achieves an accuracy of 83. By collecting real-time soil moisture data and weather conditions, the system predicts irrigation schedules and automates water distribution, reducing About Final year project developed during my undergrad using an amalgamation of ML, DL, IOT, robotics and image processing. All Links are tested and working fine. ML-IDS API Clients For convenience, the Python clients implemented in the ML-IDS API Clients project can be used to submit new prediction requests to the API and receive real-time notifications on detection of malicious network flows. An efficient and cost-effective solution for smart water management. An Introduction on integration with IoT and ML. GitHub is where people build software. LEDs indicate water status. Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation. Features: Real-time data collection using IoT sensors to monitor environmental parameters. Each project reflects commitment to applying theoretical knowledge to practical scenarios, Description: This project involves developing a real-time environmental monitoring system using IoT and AI/ML technologies to gather and analyze data from public parks, focusing on parameters such as air quality, temperature, humidity, and pollution levels. The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algorithms. The mission of the project is to GitHub is where people build software. These projects, created by me @kingabzpro, cover essential MLOps concepts such as deployment, automation, orchestration, and This article is a one-stop solution for all the top projects related to the fields of Python, Data Science, Machine Learning, IoT, and much more. It monitors soil moisture, temperature, and humidity, automating watering based on sensor data. This project is an IoT-based system that integrates real-time sensor data, machine learning, and deep learning algorithms. - sangnya003/An-Integrated-IoT-and-ML-Driven-Smart-Farm-Monitoring An IoT-based, community-driven air quality monitoring system designed to provide real-time AQI (Air Quality Index) estimation using multiple sensors. Project page for EdgeMLGesturePod is an EdgeML powered, small-form factor plug and play accessibility device that performs on device gesture recognition. Data processing and analysis leverage ML/DL algorithms to deliver intelligent insights. By analyzing historical data, the model can anticipate equipment failures, reduce unplanned downtime, and optimize It is because IoT Devices are forming their dense clusters, And when new datapoint comes for classification it falls in one of the 28-clusters (because we have 28 IoT Devices). Contribute to kahramankostas/IoTGeM development by creating an account on GitHub. This project aims to design and implement a lightweight, efficient, and accurate Intrusion Detection System (IDS) that enhances the security of Internet of Things (IoT) networks. This repository contains the codebase for an IoT-based Weather Station that measures environmental data and predicts rainfall using machine learning. Here are 7 ambitious projects you should try out to broaden your data science skillset! This article is a one-stop solution for all the top projects related to the fields of Python, Data Science, Machine Learning, IoT, and much more. In this sample, we walk you through training a machine learning model with data collected from IoT devices in the cloud, deploying that model to This project aims to develop an intelligent energy management system for smart homes using machine learning techniques. Machine Learning for Internet of Things. - bhoke/awesome-embedded-ml Objective : To help Doctors (or) Supervisors remotely monitor the Condition of the ambiance, Health condition, and the proximity from the set location of a Patient (or) Person under observation. Multi-step Hourly Temperature Prediction Using Vehicle-IoT and ML - stccenter/IoT-based-Temperature-Prediction. This project aims to develop a machine learning model that can predict the maintenance needs of industrial equipment. Applied AI/ML Projects with IOT Data. Role of ML algorithms is for developing a network forensic system based on network flow identifiers and features that can track suspicious activities of botnets is possible. The Smart Irrigation System is designed to optimize water usage in agriculture using IoT sensors and Machine Learning. The goal is to anticipate device failures before they occur, reducing unplanned downtime and optimizing maintenance schedules. Ensure optimal usage with this GitHub is where people build software. So Stay Tuned!! The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes readings of the surrounding environment on a periodic basis. The system analyzes energy usage patterns of various devices in a smart home and uses machine learning Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required - kaiwaehner/h GitHub is where people build software. The entire report for this project can be found here. Contribute to HerryPapaiya/IoT_ML development by creating an account on GitHub. Smart Energy Forecasting using ML on IoT Sensor Data This project explores how machine learning models can forecast energy consumption using IoT sensor data. The system connects 500 AI Machine learning Deep learning Computer vision NLP Projects with code !!! Follow me on LinkedIn : This list is continuously updated. This library is a product of the Intelligent Implementation of ML on IoT based data. The "AIO with AI in-a-box" includes GitHub is where people build software. The front end is developed using Angular 13, while the backend uses Flask. py) to generate realistic IoT network data, a training script (train_model. The main motive of this project is to anticipate whether an IoT networked device is under attack or not with the help of machine learning. - madsenmj/ml-iot-fault-prediction This project is part of my capstone project at The University of Sydney. To make a Smart Agriculture System and simulate the same using Internet Of things and Machine Learning. This project uses an IoT framework with AI to develop This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Hence, it has This repository contains the code for the project "IDS-ML: Intrusion Detection System Development Using Machine Learning". Here's a detailed breakdown of what the project does: Data Collection The "AIO with AI in-a-box" project is a comprehensive toolkit designed to help users deploy AI and machine learning solutions at the edge efficiently especially in combination with Azure IoT Operations - AIO. This project imbibes the concept of the Internet of Things (IoT) and so the data is accessible seamlessly even if the supervisor is remote. Here we have discussed a variety of complex machine-learning projects that will challenge both your practical engineering skills and your theoretical knowledge of machine learning. It supports smarter energy usage, load forecasting, and sustainability planning in smart homes and industrial environments. So Stay Tuned!! Our fast, accurate and compressed deep learning solutions solve complex time-series tasks, for instance, audio key-word detection and wakeword detection on processors as small as a Cortex M4. Built for both urban and rural coverage, this project empowers individuals to participate in environmental monitoring and decision-making. In the project, machine learning algorithms are applied and tested using ten best features from the GitHub is where people build software. This project performed anomaly detection on a cluster of IoT devices. Internet of Things (IoT) is one such technology that can not only help predict the occurrence of a flood but can also help provide an emergency floor plan using an AI approach. Implemented using an IoT network. also it has the potential to contribute significantly to environmental sustainability and improve the overall quality of waste management systems. Cloud computing can also be utilized for remote data storage and processing, which Main Project. Contribute to akramIOT/ML_IOT development by creating an account on GitHub. Contribute to pablomdata/ml-for-iot development by creating an account on GitHub. A comparative analysis of ML and DL models on the IoT-23 dataset for anomaly detection. This ML enables IoT devices to make real-time decisions, optimize resource usage, and predict potential issues, leading to smarter and more adaptive IoT networks. Leveraging machine learning algorithms, the system identifies malicious activities in real time while maintaining low computational overhead, making it highly suitable for resource-constrained IoT environments. Contribute to Incend1um/IDS-with-ML-using-Bot-IoT-dataset development by creating an account on GitHub. 🚜💧 Discover the best IoT projects. Control your home devices via virtual switches, enjoy seamless voice recognition, and bolster security with advanced ML algorithms. It includes a traffic simulator (iot_traffic_sim. The framework leverages modern technologies and tools to ensure robust security for IoT deployments. By combining real-time sensor data with advanced machine learning techniques, the system aims to This project is designed to provide a Predictive Maintenance Dashboard for industrial equipment, using machine learning techniques to predict when maintenance is required. UNSW-NB15 botnet datasets with IoT sensors' data are used to obtain results that show that the proposed features I developed a machine learning model for predicting SHA, DFA, SFA, SYA, and VNA attacks on IoT devices. A machine learning demo to predict faults in penicillin batch production. It automates irrigation using soil and climate data, while identifying animals like elephants and boars in real-time, ensuring secure, efficient, and sustainable precision agriculture. The primary tasks include data preprocessing, exploratory data analysis (EDA), feature engineering, and building models to achieve optimal performance metrics. The system preprocesses sensor data for reliability, utilizes Gradient This project combines IoT sensors and a CNN-based machine learning model to monitor crop conditions and detect wildlife intrusions. Smart grids, combining IoT, cloud computing, and machine learning, offer a modern Smart Tank using IoT: This ESP8266-based project monitors water levels in a tank using ultrasonic sensors. The system utilizes computer vision techniques, particularly object detection using YOLOv5, along with IoT components such as This project implements AI-driven predictive maintenance for vehicles, leveraging machine learning techniques to forecast maintenance needs based on real-time sensor data. To help you navigate your learning journey, I have ranked seven GitHub projects from beginner to expert level. The ML model metrics using the UNSW-NB15 dataset revealed that ML The Smart Plant Monitoring System is an IoT project that automates plant care using an ESP32 microcontroller. The repo has three folders: Dimensionality Reduction, Clustering and Anomaly Detection. Built with Django, the system provides a user-friendly interface for farmers to access crop suggestions based on current conditions, promoting efficient and This project is an advanced IoT network monitoring system that detects malicious activities in real-time using a trained Random Forest machine learning model and visualizes results on a web-based dashboard powered by Flask. To attain the objectives, we present a comprehensive study on the application of machine learning (ML) and deep learning (DL) techniques for Intrusion Detection Systems (IDS) in IoT networks. Welcome to the Smart Irrigation System Project! This project leverages data science and machine learning techniques to optimize water usage for irrigation using smart insights. Leveraging the CIC IoT 2023 dataset from the Canadian This project leverages IoT sensors and machine learning algorithms to predict future weather conditions based on both current and historical data. This paper presents a technique for training on-board ML algorithms on IoT devices, combining federated learning (FL) and transfer learning (TL). Contribute to Ramesh-4p0/Smart-Agriculture-Using-IoT-and-ML development by creating an account on GitHub. These projects will help you gain practical experience and insight into technology trends and in GitHub is where people build software. This project demonstrates a predictive maintenance solution for IoT devices using machine learning techniques. Please ping if any This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. Contribute to sriharshamvs/IoT-with-ML development by creating an account on GitHub. Using range detection techniques and health parameters GitHub is where people build software. The experimental analysis compares the proposed approach to traditional FL solutions and combined techniques based on TensorFlow Lite, with a focus on classification and regression problems. The main motive of this project is going to simplify the process of irrigation and getting the best possible conditions for farmers for their The project focuses on utilizing the accessories of the TI-OMAP along with few peripherals like Camera,Stepper motor etc to implement a self-driving car based on Machine Learning achieved through either Neural Networks ,Genetic Algorithms This is a list of interesting papers and projects about Embedded machine learning projects. - You can take pull requests and contribute. With growing energy demand and the integration of renewable energy, conventional grids face challenges like grid instability and inefficiency. Smart irrigation systems that use IoT sensors and machine learning algorithms can help monitor soil moisture for better water management and crop productivity. This project explores the potential of ML to enhance IoT network performance, focusing on traffic prediction, energy optimization, anomaly detection, and Quality of Service (QoS) management. A machine learning model processes this data to recommend the most suitable crops for a given area. UNSW-NB15 is an IoT-based network traffic data set with different categories for normal activities and malicious attack behaviors. 21% in rainfall prediction. About Welcome to the AI-ML-DL-Projects repository! This repository is a comprehensive collection of 500+ projects spanning various domains of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Natural This project will list the publicly available datasets in IoT domain and other resources that are required to do research in IoT domain - mnsalim/IoT-Related-Dataset-and-Resources IoT Attack Detection with machine learning. - Mkhubaiib/Machine-Learning-Model-to-predict-attack-in-IOT-Devices This project provides a comprehensive security framework for IoT devices, encompassing secure communication protocols, device authentication, anomaly detection, firmware integrity checking, and a web interface for monitoring and management. Frequently, IoT applications want to take advantage of the intelligent cloud and the intelligent edge. py) to build and save the ML model, and a Flask The Project promising solution to revolutionize waste management. This project uses IoT sensors to collect real-time environmental data such as soil moisture, temperature, and humidity. Whether you're a student enhancing your resume or a professional advancing your career these GitHub is where people build software. This project aims to address traffic congestion issues in India by implementing an AI-based Smart Traffic Light System. By leveraging IoT technology, it enables real-time monitoring, efficient resource allocation, and data-driven decision-making. This open-source project presents a user-friendly and intelligent home automation solution integrating Augmented Reality (AR), Machine Learning (ML), and Internet of Things (IoT). This project tackles the IIT Madras Machine Learning Challenge, aiming to build a predictive model using advanced data preprocessing and deep learning techniques. GesturePod is clamped onto any cane or walking stick to detect gestures This article provides over 100 Machine Learning projects and ideas to provide hands-on experience for both beginners and professionals. Communication between IoT devices and the server happens via the MQTT protocol. Achieved accuracy of 88% with SVM. An ML & IoT powered food storage monitoring system that enables real-time monitoring of temperature, humidity & CO2 and prediction of food spoilage. The solution uses Azure Machine Learning for model training and deployment, along with a Random Forest Classifier for predicting device failures. The code and proposed Intrusion Detection System (IDSs) are general models that can be used in any IDS and anomaly GitHub is where people build software. Know 20 IoT-based projects for beginners and advanced professionals, from smart homes to IoT-based agriculture monitoring. amgjidfzqcsdbprgedyxsbingizzpyqtoccercoiwuhnsbshuaztrqkaefwe