Live Session Timings
In this project you will learn how to use OpenCV and Deep Learning based object detection models to implement Social Distancing in public places. You will develop an application which alerts the concerned person if the public violates the social distancing.
In this project you will learn how to use OpenCV with python to count the people entering and exiting the Restaurants or Shopping malls. Also, you will get hands-on experience with object tracking systems and deploying it on a cloud platform as an end to end application.
Learn OpenCV and Deeplearning algorithms to build high quality facial recognition system, understand the metrics and efficiency of facial recognition systems with their applications in various fields. Build and deploy end-to-end application on the cloud platform as an API.
In this project you will learn how to use efficient Optical Character Recognition engines to detect, localize, and OCR text from document. Gain hands-on experience in building end-to-end application and deploy as an API on a cloud server.
Complete a Working
Prototype / Project
Project Completion Certificate
Verifiable Micro - Experience Badge
Mentor Access to Clarify your Queries
Access to Recorded Video of the Session
Interactive Live Session
Any student with relevant background and basic coding skills can enrol for the projects.
Not necessarily, We would give enough resources to make you ready for developing a project
Absolutely Yes, you can submit in you college as it’s a complete end to end application development program
No. This program is for individual eligible students only, team participation is not acceptable
Yes! a desktop/Laptop with good Internet facility is required to work on the projects
You will have live interactive sessions to provide you proper hands on project with mentor support.
Yes you can enrol for all projects and complete them as each project is scheduled different dates