Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/vishnukarikalan07/ECG-CLASSIFICATION-INTELONE
Analysing the ECG signals from the people and check whether the signals are normal or abnormal. If the result is in abnormal then check the wave signals which wave segments are responsible for those abnormalities and save in the cloud. Then saved files are easily accessible by the doctor at any time
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URL: https://github.com/Gayathri-raja/Trafficsignrecognition_IntelOneAPI
Traffic sign recognition is an essential component of any intelligent transportation system. Overall, this system highlights the importance of traffic signs recognition for improving road safety and prevent accidents and it also provides insights into real world applications.
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URL: https://github.com/Jeyasundar/DC_Cetacenas
It is a web application that has got python Machine Learning codes used to predict chronic diseases using basic inputs given by the user on the webpage. It is integrated with Intel oneAPI and this project that predicts if a person has a disease or not is done for Intel oneAPI Hackathon.
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URL: https://github.com/Gokulprasanth-t/TRASHEYE_IntelOneAPI.git
In this project, we propose a deep learning-based trash detection. This reduce difficulty in traditional method of manually detecting and cleaning trash is time-consuming and inefficient.
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URL: https://github.com/Priyanga-S/Wheeze-and-Crackle-Detection-Analysis
Our project describes that CNN and Mel-spectrograms can accurately classify adventitious lung sounds. Improving noise filtering and exploring advanced feature , self-supervised learning and Transformers can enhance the system's performance and support automated diagnosis of respiratory disorders.
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Empower Employee Health for Optimal Productivity with AI: Transform the Way You Monitor Your Team's Well-being with Our Cutting-Edge Deep Learning Algorithm-powered Health Monitoring System, Featuring a Groundbreaking Three-Layer Architecture for Unmatched Vital Parameter Tracking.
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URL: https://github.com/jeyasri-senthil/SafetyGearDetection_IntelOneAPI
A Safety Gear Detection System is developed for construction workers using computer vision and deep learning techniques. This will ensure compliance with safety regulations and prevent accidents and injuries on construction sites by detecting whether workers are wearing appropriate safety gear.
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URL: https://github.com/Harshit26042004/Intel_OneAPI_OCR
Digitization the Handwritten or Photo characters was a manual process in before days. This was a time consuming thing and it is manually expensive. Such handwritten or image characters are difficult to read by visual-impaired people. This Traditional method can be overcome with the help of this OCR
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URL: https://github.com/kavinvengidu/Pothole_Detection_IntelOneAPI
Potholes are basically areas of road surface that have ruptured, worn away, or eventually formed a hole. Automatic detection of potholes is a human safety based project. This system provides cost effective solution for detection of potholes on the road by using ultrasonic sensors and indicates the r
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URL: https://github.com/loveroflov/BITCOIN-PREDICTION-RSME-INTELEX.git
project done with intel oneApi
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URL: https://github.com/Ahamedthaiyub/Workfoce-360-based-on-intelex-
WORKFORCE360 is a machine learning model associated with the Intel One API toolkit, designed to predict employee attrition. Its purpose is to help companies retain valuable employees and reduce costs associated with turnover. Our three-tier solution includes resume parsing and predictive analytics.
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URL: https://github.com/Vasa-1410/POTATO-DISEASE-PREDICTION-INTELEX
This project is a potato leaves disease prediction model using convolutional neural networks (CNNs). The model is trained to classify potato leaves images into four different classes: "Healthy", "Early Blight", "Late Blight".
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URL: https://github.com/Scientific-Computing-Lab-NRCN/code2mpi
Easing the process of distributed parallelization coding by suggesting places and segments of the code that need synchronization (MPI functions), i.e., send/receive messages between different processes. This is done by creating a designated database and training a proper language model.
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URL: https://github.com/Manikanta-7342/SafeStreet
SafeStreet is used to automate the traffic signal violation detection system and make it easy for the traffic police department to monitor the traffic and take action against the violated vehicle owner in a fast and efficient way and to detect and monitor the traffic signals.
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URL: https://github.com/Manikanta-7342/TimeCapsule
TimeCapsule is an AI-based system that uses advanced algorithms to generate concise and informative summaries of historical events. It identifies the key events, people, and places mentioned in the text and creates a summary that highlights the most important aspects of the event.
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Implementation of SSDMobileNetv2 in OpenVINO
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URL: https://github.com/Suba021/BotnetDetection
Botnet attacks are the most serious threat to security attack . To detect it we have to detect unusual traffic, identifying suspicious devices and IP addresses, and eliminating communication with suspicious actors.
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URL: https://github.com/Keerthi-pk10/MLsolutionforagriculture
An Intel OneAPI optimised machine learning approach to detect diseases in tomato leaves.This is to develop an accurate and efficient system that can automatically identify the presence of diseases in tomato leaves from images & classify them into different categories based on the type of diseases.
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URL: https://github.com/InaMinaMynahMo/IntelOneAPI
GIVEN THE CODON DATASET, THE KINGDOM OF THE SPECIES IS IDENTIFIED USING MACHINE LEARNING
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URL: https://github.com/Vishalece/AUTOMATED-DIAGNOSIS-OF-EPILEPSY-USING-EEG-SIGNALS
This project focuses on building a model for the detection of epilepsy using EEG signals. Epilepsy is a neurological disorder that affects millions of people worldwide. The detection of epilepsy and changes in mental state is important for the diagnosis using DL/ML algorithms.
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