" A Deep learning model detects pneumonia in X-ray images with high accuracy, aiding in early diagnosis. Developed using Intel libraries for optimized performance."
Farm Friend is an intelligent farming system that harmoniously integrates IoT and AI technologies to optimize agricultural practices and enhance crop management for farmers.
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
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.
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.
Harnessed the power of Intel technologies to enhance the capabilities of the YOLOv5 algorithm for object detection. By leveraging Intel's optimized libraries and frameworks, such as Intel oneDAL, Intel optimized PyTorch, and the SYCL/DPC++ libraries, we have achieved superior performance, accuracy,
An IOT based Agriculture solution which automates the process of farming, making scalable urbanized farms come true
In order to feed today's global population, we currently need farmland equivalent to the size of South America. Despite the exorbitant amount of land already allocated to agriculture
The probability library function generates a random number using Chainlink VRF. The random number generated using probability library is called in the games of Slot Machine, Roulette and Black Jack.
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
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.
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.
Image segmentation of luxury cars, worked on the Intel OpenVINO notebook with Python, Matplotlib, training the model, uploading the photo, masking the photo, to change the image color.
We have developed an early warning system for student dropouts using Intel® AI Analytics Toolkits, specifically Intel® DAL and MKL. This powerful solution enables educational institutions to identify potential dropout risks early on by analyzing student data efficiently and accurately.
OORB introduces an open-source framework for building and teaching organic robotics, simplifying the journey from idea to prototype for all skill levels. Aimed at revolutionizing educational resources in advanced robotics, OORB supports coding in any language and offers an easy-to-navigate, modular
Welcome to TransData Rapid growth in the service and technology sectors and the heightened competition in the market have resulted in the need for businesses to increase productivity, integrate all available information, and improve the standard of customization.
Given that an instructor cannot supervise all students simultaneously, this system allows the instructor to receive alerts when students do not correctly complete the sequence of physical exercises.
Smart Kart uses IoT to reduce queues in malls with a smart cart. Products are automatically scanned and added to the bill when placed in the cart. No manual scanning, faster checkout. IoT enhances the shopping experience, minimizing queues, and satisfying customers.