ITSyndicate25

ITSyndicate25's Stars

• LaravelDaily/Laravel-Roadmap-Learning-Path

  5.5k280171.2k

• opensource-emr/hospital-management-emr

  A complete open source for electronic healthcare record management in Hospitals, Clinics and Pharmacy.

  Language:JavaScript3182354211

• bubblevy/bubbleclinic

  BubbleClinic is an application used for the process of taking queue numbers at clinics. This application was created using Laravel 10 & Bootstrap 5.

  Language:PHP384023

• gimnathperera/Molemi-App

  Molemi App is a AI (Deep Learning) based plant disease recognition application that can identify up to 10 various types of plant diseases by analyzing plant leaves.

  Language:JavaScript36202

• adityaketkar/circle-packing-personal-homepage

  Minimal personal homepage 🏠 with aesthetic circle-packing design ⚪ https://tonystark-website.netlify.app

  Language:SCSS343018

• HarsH-OhM/Hospital-Admin-Management-System-Application

  In this Hospital Admin Management system we have multi auth login system for doctor and admin and doctor and receptionist can manage their work and data regarding patient appointment and patient data and also whole information about hospital work. In this application i have used some really good functionalities and features like chart representation of data , fully authenticated sessions for login system and all the required crud operations and gmail smtp integration for mail message communication between doctor,patient and receptionist and all other required features are there. it's very detailed and flexible SaaS based application. for frontend HTML css javascript , bootstrap nd other important libraries are used and for backend i have used php Laravel framework and now i am loving it and for Databse i have used MySQL.

  Language:HTML30305

• sameerkhalid007/Clinic-Management-System

  The project clinic management system is a web application developed to simplify the communication process between the doctor and the receptionist. The application would be operated by two admins one is doctor and the other is receptionist. Receptionist would be responsible for assigning token numbers to the patient visiting the clinic and save it in the database along with their details. These token numbers along with respective patient details are sent to doctor. The doctor can thus view patient details and after checking up the patient, the recommended medicines for the particular patient are fed into the database by the doctor and are sent to receptionist. The receptionist can then generate bill and feed into the database. The system also maintains patient’s history so that doctor or receptionist can view them anytime. The system can thus reduce complexity in maintaining patient’s records. The project is developed on web platform and is supported by a Sql database to store user specific details.

  Language:PHP232410

• hossshakiba/EyeSee

  A high-performing & lightweight CNN model for retinal diseases, which can accurately categorize fundus retinal images into four classes: Normal, Cataract, Diabetic Retinopathy, and Glaucoma.

  Language:Jupyter Notebook12202

• arpy8/Alzheimers_Prediction_System

  Alzheimer's prediction system deployed on streamlit that employs Logistic Regression to classify whether a person is prone to having Alzheimer's Disease or not.

  Language:Jupyter Notebook102012

• abdelghanyMh/laravel_medical

  Management app for medical clinics

  Language:JavaScript8108

• anasss008/projet_MedEYE_JEE_2023

  full stack website of an ML based system to detect eye disease

  Language:PureBasic8110

• kodeeo/klinic

  online clinic management system

  Language:JavaScript62112

• sunny2309/streamlit_image_classification

  Streamlit Image Classification App

  Language:Jupyter Notebook32

• jericho-padua/bpc-faculty-evaluation-system

  Language:JavaScript2

• makhijakabir/eyeDiseaseDetection

  A research project on Eye Disease Detection

  Language:Jupyter Notebook2100

• yxmauw/eye-disease-classification

  Option 2 for capstone project DSIF5

  Language:Jupyter Notebook2100

• Andrew-Tsegaye/Mindblowing_3D_developer_portfolio

  Language:JavaScript110

• CuiMengchen/eyeDiseaseDetection

  Language:Python1100

• devgranty/eye-disease-prediction-system

  A five class eye disease prediction system using google's tensorflow library and teachable machines API.

  Language:CSS1

• fahmida246/EyeCare-website-flask-mongodb-deep-learning

  Language:HTML110

• glenmoreilagan/clinic-appointment-system

  Language:PHP1

• hardiantots/EyeDiseaseClassification

  Language:Jupyter Notebook1101

• ITSyndicate25/juan-coffee-web

  Language:JavaScript1100

• ITSyndicate25/morning-wood-manila

  Morning Wood Manila Website

  Language:JavaScript1100

• ITSyndicate25/portfolio_cordova

  Project 1: Web to Mobile App Project (Cordova Project)

  Language:Java1100

• preciousakpan/laravel-appointment-app

  laravel appointment application

  Language:HTML13

• qeewpi/santa-ana-vet-clinic-management

  A Veterinary Clinic Management System (VCMS) for Santa Ana Animal Health Clinic. Built with a React frontend for a dynamic user interface, leveraging Tailwind CSS for styling, and a Spring Boot backend providing robust data handling and REST APIs. MySQL is utilized for persistent storage.

  Language:JavaScript1100

• RezInu/AI_EyesDiseaseClassify

  By: Raven Cagulang 柯任遠 // Simple web app for eyes disease classification using retinal images. In Partial Fulfillment of the Requirements in Artificial Intelligence and its Applications. Southern Taiwan University of Science and Technology.

  Language:Python1200

• sachdevavaibhav/Ocular-Disease-Image-Recognition

  ODIR aims to classify different ocular diseases from fundus images of the eye.

  Language:Jupyter Notebook1100

• SVafadar69/EyeDiseaseClassification

  Convolutional Neural Networks written in PyTorch, to classify 4 classes of Eye Diseases.

  Language:Jupyter Notebook1201