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success9570's Projects

billing-software icon billing-software

Billing Software is a project which aims to make the process of creating a bill, setting new rates, new tax less frustrating and less stressfull. This project has many features which is generally important for every place where billing is needed but, This project has many unique feature which is generally not present in billing software. It has admin account, login window which can make login for user as well as for admin too. It can handle only one admin account and admin has to assign access code for creating a user account from admin console. Admin has to set new rates and new tax to items, It has about window for technical support and billing window for making bill. One more unique feature is the login window can only request to you for only access code, user can make login using assigned access code but admin has to use password of admin account as access code, If user makes login they will directed to billing window but if admin makes login then the arrow of direction will towards admin console. It will save previous bills and if user wants to show previous bill they can search bill no in search bar, It will show you searched bill. Overall this project of ours is developed to help the person who maintain bills in any organization where billing is needed, This is best possible way to maintain bills and reduce human efforts.

disease-prediction-using-machine-learning icon disease-prediction-using-machine-learning

This Machine Learning project is used to predict the disease based on the symptoms given by the user.It predicts using three different machine learning algorithms.So,the output is accurate.It uses tkinter for GUI.

heart-disease-predictor icon heart-disease-predictor

Tkinter based application for Heart Disease analysis using RandomForestRegression Machine Learning algorithm

heartdisease icon heartdisease

HD prediction using machine learning algorithm ,Support Vector machine and Random forest.Using Tkinter developed a User Interface so that we can enter patient's symptom values and get results.

hearthealthprediction icon 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

malaria-detector-application icon malaria-detector-application

An efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is parasitized or normal from its image in real time with an accuracy of 95.22%.

pso-elm icon pso-elm

Heart Disease Diagnosis using PSO-ELM

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