Technology for Independent Neural Automation for AUN Appliances
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Updated
Nov 30, 2016 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Technology for Independent Neural Automation for AUN Appliances
Uses Weka to perform Machine Learning on two DataSets.
Machine learning library with visualisation GUI to help teach or understand machine learning and how different classifiers learn
Next word prediction using n-gram (unigram, bigram & trigram)
Android app for ID card reader using Firebase Machine Learning KIT
A multiclass-perceptron based Part-of-Speech tagger
ApacheBugLearning is a Java project capable of retrieving all commits of any Java project from the Apache Software Foundation, linked with related Jira tickets, and through machine learning predicting classes affected by BUGs.
Repository for experiment with TensorFlowLite
A system for the Arivia bot to communicate as a discord bot.
A few simple tasks solved with evolutionary algorithms
Vision Dictionary- Built a Dictionary Application using the Google Brain Machine Learning API for reading the words and telling the meaning of the scanned word.
This is a simple sentiment analysis project using Java. With explanation of methods and objects.
CardioPulse ❤️🩺 is an Android app using machine learning to predict cardiovascular (heart) diseases. Created as a final year project by University of Sialkot students, it combines predictive modeling with Firebase cloud storage. The app offers personalized health assessments and intuitive tracking for early detection and better health outcomes.
An Android application, Automatic detection of plant diseases using Machine learning, Specially for TOMATOES
Predict person behaviour used their data which gathered by smartphone
Java machine learning framework.
Machine learning model within Android app. The basis for my next big project