robertcjoshygithub's Stars
anujdutt9/Disease-Prediction-from-Symptoms
Disease Prediction based on Symptoms.
CT83/SmoothStream
Webcam, PiCamera streaming over the network with Python made easy.
Kalebu/Website-blocker-python
A simple website blocker project implemented in Python, It can be used to block certain websites during working time to reduce distraction thus improving productivity
ayushreal/Signature-recognition
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:
ammarmahmood1999/HeartHealthPrediction
The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set
praveenkumarsrivas/Jarvis-AI-using-python3-
This is the New Jarvis AI Project it will do some functionality followed by user query.
Kalebu/Python-Speech-Recognition-
This consist of basic examples of performing Speech Recognition in Python using Google Speech Recognition Engine
devmahmud/Heart-Care-Django
Heartcare is a diagonostic management project developed in django. Admin can add doctor, add services, add gallery pictures . User can see doctors profile and also they can make appointment. They can also contact to the heartcare through email.
kerolloz/atm-project
file processing project
rudrajikadra/Speech-Emotion-Recognition-using-Librosa-library-and-MLPClassifier
In this project we use RAVDESS Dataset to classify Speech Emotion using Multi Layer Perceptron Classifier
aydinnyunus/Python-Kodlari
Python Projects
ganeshkavhar/Web-Scraping-in-python
ganesh kavhar python project
sachinyadav3496/SuperSecureChatApplication
A chat application with end to end encryption with centralized authentication system using Raspberry pi and a 4x4 Matrix Keypad for secure passcode.
dubeyji0110/movementDetector
Movement Detector using python
scorpion004/luna-voice-assistant
This is a voice assistant program for windows made of python language. No need of IDE and command to run this program.
sachinyadav3496/Bank_Application
A simple Graphical Bank Application written in python3 using tkinter library