It Predict the white winner in a chess game on the basis of first move of white player and response of black player. In the dataset all the set of moves are given but We choose to predict the white winner the first move.Also it predicts the next move of the player using deep learning techniques
The music generator application with LSTM and RNN neural network is a project that uses machine learning techniques to generate music. The application is designed to take in a dataset of existing music, and then use an LSTM (Long Short-Term Memory) or RNN (Recurrent Neural Network) model to learn th
The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques.
Smart Garbage Segregation is a project that aims to using AI/ML to efficiently and effectively sort waste into different categories such as plastic, glass, etc. using oneDNN.
This project is designed to predict the likelihood of a person developing diabetes based on a number of risk factors. The goal of tproject is to help identify individuals who are at high risk for the disease so that preventive measures can be taken early on to minimize the likelihood of complication
A comprehensive algorithm that generates a brief summary of a given research paper.Paper summarization is a crucial tool that helps researchers, students, and professionals save time and effort when working with research papers. However, summarizing research papers can be a daunting task, especially
US lenders use AI to understand mortgage delinquency risks, but models must be updated with changing data to remain accurate. Fair predictions are essential for ethical AI and building trust in AI systems impacting society.
Bengaluru House Prediction is an ML model with a user-friendly Flask interface built using Intel One API. It predicts home prices using pandas, scikit-learn, and matplotlib. The project benefits homebuyers, agents, and developers, demonstrating data science's power.
The project involves using brain-machine computing to predict emotions. This likely involves using brainwave data to identify patterns that correspond with different emotional states.
The project is currently in progress, i am still collecting data, developing algorithms........
Air wiggle ; Project submission on https://devmesh.intel.com/
for the Learned worth consult digital technology company incoporated in Nigeria, cac no ; BN 3701056
https://www.github.com/free2ride19/air-wiggler
https://www.github.com/caseg-network/air-wiggler
Air wiggle aims to be a project
The project is based on one of the themes Intel® oneAPI Hackathon for Open Innovation. It aims to devise a Machine Learning tool to predict the quality of freshwater
This project aims to predict freshwater quality using machine learning techniques, specifically Adaptive Particle Swarm Optimization (APSO) and Convolutional Neural Network (CNN). The APSO algorithm is used for feature selection, while the CNN is used for classification. The model achieved an accura
基于OneAPI技术的并行随机森林实现,旨在提高随机森林算法的性能
Parallel random forest implementation based on OneAPI technology, aiming to improve the performance of random forest algorithm
The project "Distance Measurement Using Ultrasonic Sensor" is measuring of object from particular distance where Ultrasonic Sensor is situated and display the distance on LED screen.
Here we will be building out a Twitter Scheduler data pipeline, the idea is to collect hundreds of tweets in a file and all the tweets will be segregated and posted on Twitter profile depending on the time it's scheduled for.