Jumpstart your prototyping without reinventing the wheel. The Intel® IoT Developer Program provides you with tools, templates, libraries, and more to accelerate IoT solution development.
URL: https://www.kaggle.com/code/zengamer/induction-motor-faults-detection
This project focuses on detecting faults in induction motors using machine learning and deep learning models. It preprocesses sensor data, trains models like SVM, kNN, and DNN, evaluates performance, and provides predictions with insights into motor health.
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URL: https://www.kaggle.com/code/zengamer/wind-turbine-energy-model-prediction
AI-Powered Wind Turbine Fault Detection: Predictive Maintenance for Enhanced Efficiency & Reliability
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URL: https://www.kaggle.com/code/zengamer/solar-power-generation-prediction
Predicting Solar Power Generation: A Machine Learning Approach using Historical Weather Data and Time-Series Analysis for Accurate Renewable Energy Forecasting.
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URL: https://www.kaggle.com/code/zengamer/ac-machines-excitation-currentofsynchronousmotor
Analysis of Synchronous Motor Excitation Current using Machine Learning techniques, exploring relationships between Load Current, Power Factor, and Excitation Current
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URL: https://www.kaggle.com/code/zengamer/water-quality-prediction
Grey Water Management- Designing low-cost testing kits capable of detecting bacterial, faecal, and microbial contaminants in groundwater
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URL: https://github.com/adnansami1992sami/BlockDef
The management of sensitive data in defense organizations is a complex task that necessitates secure storage, effective administration, and dependable access. Conventional centralized data management systems possess inherent weaknesses that make them prone to data breaches and unauthorized entry.
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URL: https://github.com/Tool-Detective
Predictive maintenance for the Manufacturing Industry checking Metal Cutting Tool's Wear for each cycle of machining, using a Computer Vision NN that segments the wear of the tool image to optimize life-time, reducing the downtime automating the process and keeping data on dashboards for ERP system.
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URL: https://esp32-firebase-demo-fcea2.firebaseapp.com/
Detect and Analyse humidity and temprature with realtime database with ESP32 interfacing through web application.
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URL: https://github.com/Yuvasreesivakumar/Crop-Suggestor
I had done a project where I utilized sensors to gather real-time soil and moisture data. Employing microcontrollers, I integrated these sensors to recommend optimal crop varieties based on soil quality, enhancing agricultural productivity.
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URL: https://github.com/vikrantvikaasa27/Smart-Farming-and-Crop-Price-Prediction
Farm Friend is an intelligent farming system that harmoniously integrates IoT and AI technologies to optimize agricultural practices and enhance crop management for farmers.
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URL: https://github.com/Altaf-01/Sexual-Harassment-Detection-In-Workplace
Sexual harassment in workspace has become a serious issue nowadays. Our solution is an attempt to build a safer environment. We have developed 3 CNN-based models to detect this issue, complete CNN model, VGG16 model, Xception model. Out of which VGG16 gained us a maximum accuracy of 92%(approx.)
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URL: https://github.com/dheerj188/oneAPI_SA
This project utilizes federated learning to obtain most recent data trends for continuously training the deep learning models hosted on the cloud .
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URL: https://github.com/swathikab/HomeAutomation
This Python-based smart home automation system utilizes Flask for web server development and MQTT for device communication. Through a simple web interface, users can remotely monitor and control home devices. It offers a foundation for expanding home automation capabilities while emphasizing ease of
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URL: https://github.com/HiteshJ14/Attendance-System
This is a project regarding the use of Artificial Intelligence in reducing the effort and time of taking attendance by scanning the face of the registered user. This is in the developing phase with integration of college cameras in classes for many classes. The GUI also shows the details like the
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URL: https://github.com/SHIVAANISREE/SolarFlares
Predicting solar flares is of critical importance for mitigating the potential adverse effects of these intense bursts of radiation on power grids, GPS systems, and the safety of individuals in space. Intel OneAPI is powerful tools can play a pivotal role in building solar flares prediction systems.
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URL: https://github.com/SuperSecureHuman/Segmentation_OneAPI
Implemented inference of segmentation network with oneAPI. Compressed the model with NNCF for openVINO.
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URL: https://github.com/Apollo9999/IOT-SmartHighways-Using-IntelGallileo
Project objective is to save the lives of people with the implementation of a robust system for real time monitoring of highways. Various sensors have been deployed on highway which report the status of the same to a central control station.Project were integrated using Intel Galileo Gen 2 IoT kit.
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URL: https://www.tinkercad.com/things/ffzKBSXWQM3
This project presents a comprehensive exploration of an IoT based Smart Factory System, highlighting its design, implementation, and significance in enhancing manufacturing efficiency, productivity, and adaptability.
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Image segmentation of luxury cars, worked on the Intel OpenVINO notebook with Python, Matplotlib, training the model, uploading the photo, masking the photo, to change the image color.
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URL: https://github.com/OORB-Open-Organic-Robotics/OORB-Core
OORB introduces an open-source framework for building and teaching organic robotics, simplifying the journey from idea to prototype for all skill levels. Aimed at revolutionizing educational resources in advanced robotics, OORB supports coding in any language and offers an easy-to-navigate, modular
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