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URL: https://github.com/aryankhanna208/Aeye
The project develops smart glasses for visually impaired people, using IoT, AI, and OpenCV. The glasses connect to the internet, utilize AI for object recognition, provide audio instructions/alerts, offer navigation assistance, and support voice commands. Its goal is to enhance mobility&independence
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URL: https://github.com/mianakbarjan/GSC-Alzheimer-Project
This project aims to improve the quality of life for people with Alzheimer's disease and visual impairments, enabling them to maintain their independence and stay connected to their loved ones and important objects in their lives.
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URL: https://github.com/Thunder-007/phyto-doc
The project aims to use the Kaggle New Plant Disease dataset to develop a model that can accurately predict plant diseases using ResNet neural network architecture. The trained model will be converted to ONNX format and deployed on Azure Serverless Functions for efficient and cost-effective executio
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URL: https://github.com/raison024/Smart-Garbage-Segregation
Image classification for recycling refers to the use of machine learning to automatically classify images of waste materials into their respective categories. We have made use of Intel's oneAPI and its oneDNN library which provides highly optimized routines for various deep learning operations.
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URL: https://github.com/Dinesh168/hackethon-Intel-oneAPI
it detects fake news
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URL: https://github.com/YogishaKP/Disaster-Response
This project involves ETL and a Machine Learning Pipeline implementation, that classifies messages related to disaster response, and covering multiple language disasters, with a disaster emergency response using a Flask Web App.
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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.
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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
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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.
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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
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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.
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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.
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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.
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URL: https://github.com/RahulRao333/intel
ml project
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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.
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URL: https://github.com/Saggi123/Intel-OneApi-
This code is a Python script that loads historical stock data for the Apple Inc. (AAPL) company from Yahoo Finance, preprocesses the data by normalizing it using MinMaxScaler, creates a time series data sequence with a specified sequence length, builds a deep learning model with multiple LSTM layers
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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
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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.
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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.
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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.
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