Android Application

Virtual Smart Canteen System

In order to find a more affordable and functional solution, in this project, cameras are chosen for data input, and machine learning models will be developed for real time vacant seat detection.


1. Intuitive UI which will help user to order food fast - React Native (frontend) | Any (backend)

2. Visualization of vacant seats using Digital Image Processing - OpenCV | People Counter .

Skills: Android, Machine Learning (ML), OpenCV, React Native, Python

See more: real time fraud detection in banking sector, android application for restaurant ordering system, android application for restaurant ordering system source code, real time object detection android, deploy machine learning models in production as apis, application of signal and system in daily life, android application for college management system, real-time action detection in video surveillance using sub-action descriptor with multi-cnn, smart irrigation system in india, real-time human detection in computer vision, real time object detection android github, machine learning models in python, how to deploy machine learning models in android, real time car detection in android, linear machine learning models in general associated with high accuracy, storing machine learning models in mongodb, real time object detection android studio, real-time object detection android, smart canteen system, aadhar card-based android application for patient monitoring system.

About the Employer:
( 0 reviews ) Mumbai, India

Project ID: #31482002

2 freelancers are bidding on average ₹6000 for this job


I have 10 years experience in React Native developer field . I read your requirement carefully and I will complete your project in 7 days.

₹1500 INR in 7 days
(0 Reviews)

Hello Just to introduce my self ,We have more than 8+ years of experience in design & development. And as a policy we will provide 3 month maintenance "free of cost" for the project done by us for new projects that is More

₹10500 INR in 7 days
(0 Reviews)