Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
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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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/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/mianakbarjan/GSC-Alzheimer-Project
This project aims to improve the quality of life for people with Alzheimer's disease and visual impairments, enabling them to maintain their independence and stay connected to their loved ones and important objects in their lives.
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URL: https://github.com/kamesh0407/stock_market_prediction.git
Our project is to predict the stock market. It will collect the data sets from the previous stocks and shares. We will train the data and test it. After testing it will give a predicted output.
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URL: https://github.com/CodeeDharani/Genetics-Disorder-intel-oneAPI
our project combines the exceptional capabilities of the Intel oneAPI toolkit, parallel computing techniques, and cutting-edge machine learning algorithms to revolutionize genetic disorder prediction. By leveraging these technologies, we strive to facilitate earlyand accurate diagnoses, personalized
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URL: https://github.com/MayurdhvajsinhJadeja/Sign-to-Text-Converter
The Sign Language to Text and Speech Converter and Vice Versa uses the Mediapipe library for real-time gesture recognition and oneAPI libraries such as oneDNN and OpenVINO to optimize the system's performance. This enables accurate and fast translation of sign language gestures into text and speech.
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URL: https://github.com/MayurdhvajsinhJadeja/KanhaSays
KanhaSays is a website that motivates users by providing responses to their questions using verses from Bhagwad Gita. The project will leverage the oneAPI DPC++ programming model to accelerate the processing of user queries and responses, improving the website's overall performance.
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URL: https://github.com/Thunder-007/phyto-doc
The project aims to use the Kaggle New Plant Disease dataset to develop a model that can accurately predict plant diseases using ResNet neural network architecture. The trained model will be converted to ONNX format and deployed on Azure Serverless Functions for efficient and cost-effective executio
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URL: https://github.com/subh05sus/GeetaGPT
A GPT-based Chatbot made with Flask which possesses knowledge about Shrimadvagwat Geeta and acts like Lord Krishna
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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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URL: https://github.com/SunandhiniMuralidharan/oneAPI-projects/blob/main/FetalHealth_KNNwithoneAPI.ipynb
It is important to understand the Fetal Health. Pre-Pregnancy and prenatal care can help prevent complications and inform women about important steps they can take to protect their infant and ensure a healthy pregnancy. With regular prenatal care women can: Reduce the risk of pregnancy complications
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URL: https://github.com/AlexFierro9/Image-Classifier
Using a pre-trained model to classify species on a custom flower species dataset, final presentable as a CLI application.
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URL: https://github.com/ojasaklechayt/Brainihacks-VITISH/tree/main/Models/ANPR%20System
Using a custom-trained YoLov5 for detecting number plates in images and then using Tesseract API for Ocr.
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Implementation of SSDMobileNetv2 in OpenVINO
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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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