Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/Kevin-Benny/IntelOneAPI_DepressionAnalysis
This study focuses on the development of an innovative depression prediction model using the Intel OneAPI framework, with the application of the powerful Random Forest Classifier. The main aim is to create a cutting-edge tool capable of accurately identifying and forecasting depressive tendencies in
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URL: https://github.com/kp-Captain02/The_Game_Changers.git
This project uses geographic information system (GIS) data, satellite imagery, and clustering techniques to identify and map green spaces within urban areas. The primary goal is to combat global warming and address climate change by promoting efficient urban planning strategies prioritising regions
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URL: https://github.com/neilxndr/MedBot
Introducing a healthcare chatbot using advanced encoder-decoder architecture with attention. It offers personalized, round-the-clock medical advice, leveraging a vast knowledge base. By tailoring responses and analyzing symptoms, it empowers users with accurate information, bridging technology and h
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URL: https://diagnosify.streamlit.app/
Diagnosify is an innovative brain disease classification project designed to leverage the power of machine learning and Intel oneAPIs for accurate and efficient brain disease prediction. In the modern healthcare landscape, early and accurate diagnosis plays a pivotal role in ensuring timely medical
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URL: https://github.com/ANNDANTIES/Hackathon.git
Our project offers a user-friendly platform where users can upload a photo of their hair. Our advanced image analysis model swiftly identifies whether the hair is straight, curly, or normal. Beyond classification, we provide tailored recommendations for hair care products that best suit the hair.
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URL: https://github.com/itzmmohit/Face_Emotion_Recognition
The Face Emotion Recognition project leverages artificial intelligence and the oneAPI framework to accurately identify and classify emotions displayed by individuals through facial expressions. By utilizing advanced machine learning algorithms and deep neural networks, the system can analyze facial
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URL: https://github.com/Julian-Graf/Solar-Earnings-Estimator
Solar energy is abundant, sustainable, and renewable, making it an ideal source of energy world wide. This project aims in building a model to estimate the cost and power generated by solar power in a particular region by weather forecast and motivate to adopt these methods for a better living.
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URL: https://github.com/benjji0/Ceres-diet
A concept diet tracker
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URL: https://github.com/SDeBAS/MediScan/tree/main
The "MediScan" project aims to transform healthcare by accurately converting handwritten prescriptions into digital formats. Leveraging advanced OCR and Artificial Inteligence (AI), it enhances patient safety by reducing errors caused by manual interpretation. Developed collaboratively on GitHub, Me
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URL: https://github.com/HemantDutta/oneHealth
oneHealth leverages Intel's oneAPI to revolutionize healthcare. Seamlessly combining AI and medical expertise, it delivers accurate and rapid diagnoses for brain tumors, heart disease, and diabetes. Experience cutting-edge technology for precise, timely, and life-changing healthcare solutions.
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URL: https://github.com/RajarshiBarman/Brain_Tumor_Classification.git
NeuralScan is an advanced deep learning model designed to classify brain tumors from MRI scans. It employs a convolutional neural network architecture with attention mechanisms for accurate feature extraction. Augmentation techniques and transfer learning enhance its performance.
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URL: https://github.com/JasleenKaur2711/BlindMate
BlindMate is designed to transform the lives of visually impaired individuals. Our project is driven by a deep-rooted desire to make the world an accessible place for everyone. We believe that technology has the power to bridge gaps, and it's this belief that inspired us to to embark on this journey
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URL: https://github.com/Prakriti-Bhatt/oneAPI-Hackathon
By harnessing the capabilities of the oneDNN Intel oneAPI toolkit, this project aims to construct an AI-driven solution. It will analyse images or videos sourced from cameras or webcams, enabling robust detection of adherence to personal protective equipment protocols among construction site person.
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URL: https://github.com/alpers-git/zfp
We working on porting the features of ZFP compression library to SYCL. We will begin by porting the fixed-rate compression mode then we will move on to other functionalities.
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URL: https://github.com/nayandiniii/SilverCure
Just as a single spark can light up a dark room, a single piece of knowledge can dispel ignorance. Through this project, we aim to raise public consciousness about the realities of schizophrenia, its risk factors, and its symptoms.
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URL: https://github.com/viveklistenus/VisualAid_intelOneAPI
This visual assistant app helps blind users by generating image captions with Intel OneDNN and oneDAL reading them with Google text-to-speech library. Built using Streamlit and OneAPI toolkits, it extracts visual features and creates descriptions to provide greater awareness of surroundings.
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URL: https://github.com/Arpit1434/MultipleDiseasePrediction
This project aims to help medical professionals help classify diseases with ease.
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URL: https://github.com/Rayan-Rasheed/SongifyVox-Voice-to-Song
SongifyVox is an innovative voice conversion app powered by PyTorch, Intel@ One API a cutting-edge deep learning framework. This revolutionary application allows users to transform their recorded voices by choosing their favorite AI artist into captivating songs with the help of AI algorithms.
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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/RuPaul23/intel-oneAPI
We have developed an early warning system for student dropouts using Intel® AI Analytics Toolkits, specifically Intel® DAL and MKL. This powerful solution enables educational institutions to identify potential dropout risks early on by analyzing student data efficiently and accurately.
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