Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
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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Our cutting-edge AI Video analytics Software Solution in computer vision is intended to give companies immediate analysis and insights into their visual data.
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Whether a business lunch about noon, a quick takeaway meal or a sumptuous a la carte food - we are here for you. Welcome to the restaurant India4U, the place for the finest Indian food in Bern. Let yourself be beguiled by the smell of Indian food and spoil our food. Whether a business lunch about n
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URL: https://github.com/raaasin/Drillie
Drillie is your legal mining guide chatbot. Drillie is an innovative project aimed at providing assistance and information regarding mining operations in India using multiple transformer models running simultaneously with data fed using Haystack by Deepset.
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This is a Machine Learning project made using Intel's Extension for Tensorflow for the identification of various medicinal plants found near us. It is just a model yet to be deployed on a mobile application.
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URL: https://github.com/eklotaravan/imagerecognitionusingdeeplearning
The project involves using machine learning to develop an image recognition system. This system is designed to analyze and classify images based on their content, enabling it to identify objects, people, or patterns within the images accurately. By training the model on a dataset of labeled images,
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URL: https://github.com/Rabiya9392/Car_price_prediction
Car price prediction using Intel oneAPI primarily involves using the statistical modeling capabilities provided by libraries like StatsModels in combination with Intel oneAPI's parallel processing capabilities for efficient computation
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URL: https://github.com/711121104027/bitcoin_predection.git
By using Intel sklearn extension, and using RNN algorithm. This project will predict the future bitcoin prediction.
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URL: https://github.com/mbalasurya/Objects-detection.git
By using Intel openVino and Intel Pyipp library doing a project on object detection and the DNN datasets are used for detecting over 80 objects in a single video or image.
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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/DakshDadhania/Intel-Unnati_BrainWaves
FashionVision: Revolutionizing Clothing Recognition with Intel's OpenVINO Optimization. Our CNN model achieves 94.5% accuracy on Fashion MNIST, while OpenVINO cuts inference time by 97%. Explore our streamlined fashion recognition solution now!
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URL: https://github.com/Sinda271/BirdSpeciesClassification
Bird species identification is a deep learning project based on OneAPI-Tensorflow. The data includes a total number of 1856 audio records split into 40 bird species.
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In this project I have done some Data Analytics on a data set.
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URL: https://github.com/Varun-Vi/intelunnati_Team_Qubit
Road safety is a major concern today. Deep Automated driving and vehicle safety systems need object detection. It is important that object detection be accurate overall and robust to weather and environmental conditions and run in real-time. As a consequence of this approach, they require image.
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URL: https://github.com/AdarshWase/OneAPI-Water-Quality-Competition
This project aims to predict water quality, a critical aspect of environmental and public health. Leveraging a comprehensive dataset and advanced machine learning techniques, we strive to provide valuable insights into the suitability of water for consumption.
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URL: https://github.com/Priyal19/Oxygenius
Project Summary: OxyGenius - Real-Time Tree Planting Predictor OxyGenius is an innovative project aimed at addressing the pressing issue of global warming by harnessing the power of machine learning and real-time environmental data. The project's primary objective is to predict the number of trees
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URL: https://github.com/harsh-ka/RemovingBiasFromModel.git
Real world models are always at risk of amplifying or replicating the real world bias such as gender discrimination or racial discrimination .We provide a in processing based method to removing gender bias from Model.
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URL: https://github.com/anna-sai-nikhil/Intel-oneapi-stresstracker
Created a mobile app powered by a TensorFlow NLP model trained on Reddit posts data to predict text stress levels, aiding users in managing their emotional well-being. Flutter is used for the app building, and REST API is hosted in PythonAnywhere
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URL: https://github.com/02shanks/Water-Quality_Prediction_Intel-oneAPI
This project leverages Intel OneAPI libraries to create a versatile water quality prediction model. It ensures safe drinking water, aids environmental monitoring, and enhances industrial processes by analyzing diverse data sources and features.
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URL: https://github.com/Utsabab/Intel-oneAPI-Student-Ambassador
Welcome to the English Premier League (EPL) Match Result Prediction Project! In this project, I have implemented three different classification algorithms - K-Nearest Neighbors (KNN), Naive Bayes, and DecisDecision Trees - to predict the outcomes of EPL matches.
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