Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/Ragulprince/openvino-yolov7
Project Description: In this project, we conducted a head-to-head comparison between two powerful object detection approaches, YOLOv7 native and Intel OneAPI Libraries, in the context of pothole detection. 🕳️ 📌 Objective: Our goal was to determine which approach offered the best trade-off between
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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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URL: https://github.com/Bader-Research/triangle-counting
High performance graph analytics for large scale data science.
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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/Dheeraj12121/Expense_Tracker
An expense tracker is a tool or application used to monitor and record one's financial expenditures. It helps individuals keep a close eye on where their money is going by categorizing and tracking expenses such as bills, groceries, entertainment, and more.
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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/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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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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URL: https://github.com/avirup247/WaterLeadLevelPredictor
This project help us identify the lead amount in water
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, we can evaluate the quality of water based on a range of crucial parameters, allowing us to make informed decisions about its fitness for human consumption. The suggested solution offers comprehensive exploration of various machine learning models and techniques applied to this dataset. From
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URL: https://github.com/SparshRastogi/Intel-OneAPI
We have predicted the trend of how, why, when and where of spread of Covid-19 pandemic. This study done as part of Intel OneAPI hackathon is essential for tackling similar situations in the future, and making our world a safer place to live in.
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URL: https://github.com/dishitamohan/Water_Quality_Prediction_Intel_OneAPI_Hackathon/tree/main
Solving the water prediction problem using the basics of Data Analysis and several Machine Learning Algorithms and Deep Learning.
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URL: https://github.com/reeshmashahiras/water_quality_prediction
Developed an advanced water quality prediction model using the Intel OneAPI Toolkit and seamlessly integrated it with a water-focused chatbot. This synergy enables real-time monitoring, and data-driven decision-making, revolutionizing water resource management and promoting environmental awareness.
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Firstly, it is a multi-modal dataset containing different data sources such as videos, biological analysis data, and participant data. Secondly, it is the first dataset of that kind in the field of human reproduction. It consists of anonymized data from 85 different participants.
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URL: https://github.com/vidushiOmar/Intel_prj/tree/main
This project focuses on using different classification models from scikit-learn and combining them to achieve a practical model to predict the quality of water to predict if the water is drinkable or not.
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URL: https://github.com/MohitGupta0123/GARIB_General_Application_for_Rural_Income_Building
G.A.R.I.B. app aims to empower economically weak and uneducated individuals by removing barriers to loans and suitable employment, promoting equal opportunities and inclusive growth.
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URL: https://github.com/ajaypaliwal01/Intel-one-API
Agrify: a tool for precision agriculture. It is a one stop solution for farmers introducing them to the concept of precise farming. the concept of precise farming. Precision agriculture (PA) is the science of improving crop yields and assisting management decisions using sensors and data analysis.
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URL: https://github.com/rahulkumarroy477/water-potability.git
Water potability is a critical concern for ensuring safe drinking water for communities around the world. Leveraging the power of machine learning, we'll demonstrate how to build a robust model that can predict the potability of water sources with high accuracy.
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Reducing the carbon footprint by increasing the use of solar panels and decreasing the use of Coal for producing electricity, ultimately reducing carbon footprint and saving the earth from some catastrophic event/ uncertainty.
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