Semantic Segmentation with OpenVINO
URL: https://github.com/SuperSecureHuman/Segmentation_OneAPI
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Implemented inference of segmentation network with oneAPI. Compressed the model with NNCF for openVINO.
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Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
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/SagarBajaj14/-SagarBajaj14-Disease-prediction-using-bayesian-network
Bayesian Network is used to predict possible diseases from the symptoms of the patient.
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Gastrointestinal disease detection is an important task in medical image analysis and the Hyper-Kvasir dataset is a widely-used benchmark dataset for this task. Various deep learning architectures are implemented and comparative analysis is performed to obtain best model for detection.
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URL: https://github.com/cratonoid/Suicide_Detection_Project_Using_ML_with_OneAPI
"Suicide prediction for Students using Student Forum," aims to leverage technology to address this pressing issue. By harnessing the power of natural language processing (NLP) and sentiment analysis, we seek to identify potential signs of emotional distress and suicidal tendencies.
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URL: https://github.com/nikibeep/first_aid
The project aims to develop an AI-driven voice-assisted first aid and medical condition detection system to provide real-time rescue techniques to bystanders during emergencies. This project demonstrates the implementation of speech-to-text and text-to-speech functionality using Python and Google Cl
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URL: https://github.com/Dishanth-Prabhakar/DermNet.git
DermNet - A skin disease prediction application that takes dermoscopic and normal images as input and predicts the output for 32 different classes of skin disease, which involves the use of advanced deep learning techniques and medical knowledge.
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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/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://github.com/Prajwal2001532/Smart-EduInnovators
A web app profile is created for each teacher. After entering the profile, the teacher uploads ppt, title of the slides is fetched using the nltk package in Python, using the chatGPT API explanations are fetched and stored.
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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/karthikpohane/ONEpurity
The goal is a proficient Vehicle Pollution Emission Detection and Fuel Suitability Tracking System. It emphasizes spotting vehicles exceeding pollution limits, allowing prompt action by authorities for environmental preservation. The system also evaluates appropriate fuels.
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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/Aaryan03Singh/picsort
PicSort image classifier
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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/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/santhoshpandiarajan/Fashion-Finder
The Fashion Finder project utilizes k-nearest neighbors (KNN) to find similar fashion products based on image embeddings. It enables image-based product recommendations and similarity analysis, facilitating personalized shopping experiences and enhancing customer engagement in the fashion industry.
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