Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/LavanyaR007/HACKATHON.git
Driver drowsiness is a severe issue that causes many road accidents every year. Drowsy driving can lead to accidents due to decreased reaction time, impaired decision-making, and impaired driving performance.
Posted:
URL: https://github.com/cratonoid/Elevator_Project.git
The students always tend to have the issue of figuring out which lift to use to reach their class floor at the peak hours. But to choose the optimal elevator could be worrisome and time consuming. But with the use of this AI/ML model that can figure out which lift to take to reach the desired floor
Posted:
URL: https://github.com/MXNOJBE/Chatbot_IntelHackathon.git
This is an AI enabled Chatbot that uses techniques using Python, Kivy, kivyMD, Natural Language Processing and Tensorflow.
Posted:
URL: https://github.com/tirtha1/Intel-OneAPI
The Class Monitoring System using AI and ML technology is designed to monitor real-time student behaviour in the classroom. It provides teachers and school administrators with valuable insights into student engagement, attendance, and behaviour. This system is particularly useful in identifying stud
Posted:
URL: https://github.com/Abhinav00711/RespiScan-2.0
RespiScan 2.0 is a groundbreaking project aimed at enhancing lung cancer prediction through two innovative modes of analysis. Leveraging the power of Intel oneAPI, RespiScan 2.0 offers a comprehensive approach to early detection and prevention of lung cancer.
Posted:
URL: https://github.com/Jimit17/Early-Heart-Disease-Prediction-using-AI-ML.git
This is a heart disease prediction application which helps the doctors make informed decision about the heart disease of their patient’s. This application uses machine learning algorithms to analyse patient data and predict the likelihood of developing heart disease.
Posted:
URL: https://github.com/AdarshNathaniel/Hackathon_23
Implementation of a linear regression model and a neural network, two categories of machine learning models. We are utilising a dataset from the nutritional evaluations and constituents of several cereals.
Posted:
URL: https://github.com/RahulRao333/intel
ml project
Posted:
URL: https://github.com/SDeBAS/Forest-Fire-Prediction-Intel-oneApi
Forest fires wreaking havoc and destroying several irreplaceable ecosystems is common news in the past few years owing to climate change. The best solution to the issue is having a reliable detection system, which can pick up on the early signs of a forest fire and inform the authorities immediately
Posted:
URL: https://github.com/anilaHannah/dataset
The technology that we are proposing is a system that converts sign language to speech, allowing those who are deaf or hard of hearing to communicate more effectively with those who do not understand sign language.
Posted:
URL: https://github.com/rish4522/Sentiment_Analysis_using_IMDB_Reviews
Sentiment Analysis is a popular Natural Language Processing (NLP) task that aims to classify the sentiment of a given text as either positive, negative or neutral. In this project, IMDb reviews are used to train and evaluate a Sentiment Analysis model using the oneDAL too
Posted:
URL: https://github.com/andriyazenith05/Pothole-Detection-System
AI and ML can revolutionize road management by analyzing real-time data from sensors and cameras to detect issues and alert authorities, leading to decreased accidents and infrastructure damage. Data generated can train and refine algorithms, leading to more efficient road management.
Posted:
URL: https://github.com/apoorva240/plant_disease
Plant disease prediction using AI and ML uses artificial intelligence and machine learning techniques to predict plant diseases accurately. This approach utilizes various technologies, including image processing, data analysis, and predictive modeling, promptly and diagnosing plant diseases.
Posted:
URL: https://github.com/Aaryan-2/Hackathon
The prevalence of online hate speech and harassment is a significant social issue with potentially severe consequences for individuals and groups. Machine learning has the potential to aid in combating this problem by analysing large amounts of data to identify abusive behaviour patterns.
Posted:
URL: https://github.com/Athira-Nambiar/Intel-OneApi-Project/tree/main
A project to differentiate between various skin diseases with similar symptoms.
Posted:
URL: https://github.com/Ashitha31/IntelOneApi.git
In this project, we aim to develop a machine-learning model that can accurately predict the likelihood of depression based on social media posts. We will gather a large dataset of social media posts from individuals with and without depression and use natural language processing techniques.
Posted:
URL: https://github.com/thiyaagarajan/IntelOneAPI.git
In this project, we aim to develop a machine learning model that can accurately predict the likelihood of depression based on social media posts. We will gather a large dataset of social media posts from individuals with and without depression, and use natural language processing techniques.
Posted:
URL: https://github.com/benjji0/testaDA
Testing devcloud and oneapi it for academic research.
Posted:
URL: https://github.com/devu2601/House-price-prediction-system
My name is Devesh Bhandari and my teammate VS Lavan and We are student at Christ University. This challenge is focused on house price prediction in India, where the goal is to accurately predict the prices of properties using 12 influencing factors.
Posted:
URL: https://github.com/VibishnaBaskaran17/InteloneApi
The pre requisite for this system are mean radius , mean perimeter ,mean area, worst radius, worst perimeter, worst radius ,worst area. giving this parameter it detects whether it is Malignant or Benign
Posted:
