GILLE MOMENI's Projects
This is the admin panel for the elite quizz sai i lama web app follow the documentation to get started: https://menoc61.github.io/Elite-Quiz-Documentation/
This is a flutter firebase application for smart farming this would be a simple version of farmassist
These are all AI modules for the OVRAT project structure
Config files for my GitHub profile.
This project is for the cultural day it gives the ability of the users to translate a day in any dialate formate
A civil status registry for issuing and maintaining birth and marriage certificates
CNN-Plant-Disease-Detection refers to the use of Convolutional Neural Networks (CNN) for detecting and identifying diseases in plants. The aim is to create a computer vision system that can accurately and efficiently identify different types of plant diseases based on images of the plants.
This is the github repository for B2A student of IAI cameroun
dashboard of end of year project in year 2 at iai cameroun
driver side application of final year project year 2
This project is to show the best practice in php development and create a dog certificate website with admin panel
This is the documentation for sai i lama quizz app ecosystem
Web application for sai i lama quiz app follow the documentation on: https://menoc61.github.io/Elite-Quiz-Documentation/
Epargn_Plus is a Java application for managing financial contributions. The application allows users to create and manage accounts, record contributions, and generate reports.
Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.
Firebase backend services for Farmassist app, implemented using Cloud Functions and Firebase Cloud Messaging (FCM).
A minimal IoT device simulator built using Node-RED. It sends telemetry data to Firebase Realtime Database for Farmassist app.
Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.
A global standardized readme to Explain the goal and the functioning of this organization
A garbage monitoring system using Expo, Firebase, and IoT (Arduino) is a comprehensive solution that combines mobile application development, cloud-based data storage, and hardware integration to monitor the fill-level of garbage bins in real-time. This system aims to optimize waste management processes