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.
Tracking and restocking of Malaria commodities is currently done on the basis of 6-month averages computed by MoH officials from the KHIS system data. The averages utilized are not efficient hence XGBoost is used in prediction of this monthly average trends using Time Series.
I implemented a drug classification system using oneAPI and the Random Forest algorithm. Achieved 96.6% accuracy. Dataset with drug attributes used for training. Promising results for pharmaceutical applications.
The Intel oneAPI Sign Language Gesture Translator uses MediaPipe and Intel's oneAPI platform for real-time translation of sign language gestures. It bridges communication gaps by capturing and interpreting gestures, enabling effective communication between sign language and non-sign language users.
Predict cardiovascular disease using OneAPI - an efficient and powerful solution combining machine learning algorithms with Intel technologies. Improve diagnosis and treatment with accurate predictions.
Utilizing a CNN with oneDNN for attendance management brings accuracy, real-time processing, efficiency, scalability, and integration capabilities to your system. It enables you to develop a robust and high-performance attendance management solution that can handle the complexities of facial recogni
To develop a heart disease prediction model, these algorithms are trained on labeled datasets containing patient data and corresponding heart disease labels. The dataset is divided into training and testing sets, and the algorithm is trained on the training set to learn patterns and relationships.
The ECG auto-diagnosis application is intended to provide efficient diagnosis of heart conditions for underserved communities by leveraging the advanced capabilities of the Intel® oneAPI AI Analytics Toolkit and Libraries for high-performance ECG signal processing.
RE-AIS refers to humans' semantic knowledge of domain concepts to establish a benchmark for assessing the quality of AIS randomly-collected training datasets.
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.
Drowsy driver detection refers to the use of technology to identify when a driver is becoming drowsy or falling asleep at the wheel.Once the drowsiness detection system detects that the driver is becoming drowsy or falling asleep, it can issue alerts to wake the driver up.
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
Our project aims to develop a deep learning-based system for the early prediction of Parkinson's disease using ResNet-34. Parkinson's disease is a neurodegenerative disorder that affects millions worldwide, causing uncontrollable movements and difficulty with coordination.
It is a web application that has got python Machine Learning codes used to predict chronic diseases using basic inputs given by the user on the webpage. It is integrated with Intel oneAPI and this project that predicts if a person has a disease or not is done for Intel oneAPI Hackathon.
In this project, we propose a deep learning-based trash detection. This reduce difficulty in traditional method of manually detecting and cleaning trash is time-consuming and inefficient.
Our project describes that CNN and Mel-spectrograms can accurately classify adventitious lung sounds. Improving noise filtering and exploring advanced feature , self-supervised learning and Transformers can enhance the system's performance and support automated diagnosis of respiratory disorders.