MishMash hackathon is India’s largest online diversity hackathon. The focus will be to give you, regardless of your background, gender, sexual orientation, ethnicity, age, skill sets and viewpoints, an opportunity to showcase your talent. The Hackathon is Live from 6:00 PM, 23rd March to 11:55 PM, 1st April, 2020
Before you start, please follow this format for your issue title:
TEAM NAME - PROJECT NAME - THEME NAME
ℹ️ Project information
You can select any one theme from - XR / Mobility / FinTech/ Deep Tech or Machine Learning / Ed-Tech / Social Impact
Mobility, FinTech and Ed-Tech are Open Innovation Themes
XR has 3 sub-categories that you can choose from:- Epidemic, Urban, Remake
Deep Tech or Machine Learning is sponsored by UNILEVER and has 3 Problem Statements. If you pick this theme, you need to declare which problem statement you are going to work on
Social Impact has only 1 Problem Statement - So, if you pick this theme you just need to select this Theme and say you will work on the Problem Statement in the Idea Brief Field
Project Name: Online Video Classes
Short Project Description: Contribution in in facilitating e- learning education with the help of computer acknowledgment of sign based communication
Team Name: Hexter
Team Members: Siddharth Ganesh (www.github.com/sidgan22)
Rupal Lohani (www.github.com/rupalz)
Nishant Pandey(www.github.com/nipan09)
Eric (www.github.com/evarghese563)
Azure Services Used- We are using OpenCV and creating a trackbar for noise cancellation and video adjustment.
🔥 Your Pitch
In this present scenario of pan- epidemic siege, the value of time cannot be ignored for the students who are the progressive citizens for the better future .In this demanding time there's a need to maintain the pace of education for every child and the most importantly for the differently abled children who are always more enthusiastic in taking the challenges of life. It is for the organisations, the assistance to provide the online experience of learning to their users, using Microsoft Azure’s AI service of Computer Vision.
We have a lot of methods for normal teaching classes but we have not seen any technology getting used for the deaf and dumb children, it is very difficult for them to study online in this era of fast growing technology.
The idea is to extract the noise from the videos and provide a noise free video to the learners using their product. The video after processing will be free from all the disturbances and contains only the teacher and providing the lecture to their users.
We also are using deep learning and opencv to recognise hand gestures to integrate live actions for the students. The main and basic step in hand gesture recognition is to segment the hand from the whole image so that it can be utilized for recognition. In our project skin color segmentation is applied to segment the hand.Such gestures can be used by deaf and dumb people while attending lectures to show signs.
🔦 Any other specific thing you want to highlight?
We in this time have taken the onus of spreading the required learning through online wherever it is feasible to maintain the continuity of learning to give the best during quarantine for the accomplishment of our motto, we pledge to do our best for the rightful e-learning.
We have a lot of methods for normal teaching classes but we have not seen any technology getting used for the deaf and dumb children, it is very difficult for them to study online in this era of fast growing technology.
✅ Checklist
Before you post the issue:
[X] You have followed the issue title format.
[X] You have mentioned the correct labels.
[X] You have provided all the information correctly.
Before you start, please follow this format for your issue title: TEAM NAME - PROJECT NAME - THEME NAME
ℹ️ Project information
Project Name: Online Video Classes
Short Project Description: Contribution in in facilitating e- learning education with the help of computer acknowledgment of sign based communication
Team Name: Hexter
Team Members: Siddharth Ganesh (www.github.com/sidgan22) Rupal Lohani (www.github.com/rupalz) Nishant Pandey(www.github.com/nipan09) Eric (www.github.com/evarghese563)
Demo Link: (NONE)
Repository Link(s): www.github.com/sidgan22/MISHMASH
Presentation Link:(NONE)
Deep Tech - Problem Statement - 3: (NONE)
Deep Tech - Problem Statement - 2: (NONE)
Azure Services Used- We are using OpenCV and creating a trackbar for noise cancellation and video adjustment.
🔥 Your Pitch
In this present scenario of pan- epidemic siege, the value of time cannot be ignored for the students who are the progressive citizens for the better future .In this demanding time there's a need to maintain the pace of education for every child and the most importantly for the differently abled children who are always more enthusiastic in taking the challenges of life. It is for the organisations, the assistance to provide the online experience of learning to their users, using Microsoft Azure’s AI service of Computer Vision. We have a lot of methods for normal teaching classes but we have not seen any technology getting used for the deaf and dumb children, it is very difficult for them to study online in this era of fast growing technology. The idea is to extract the noise from the videos and provide a noise free video to the learners using their product. The video after processing will be free from all the disturbances and contains only the teacher and providing the lecture to their users. We also are using deep learning and opencv to recognise hand gestures to integrate live actions for the students. The main and basic step in hand gesture recognition is to segment the hand from the whole image so that it can be utilized for recognition. In our project skin color segmentation is applied to segment the hand.Such gestures can be used by deaf and dumb people while attending lectures to show signs.
🔦 Any other specific thing you want to highlight?
We in this time have taken the onus of spreading the required learning through online wherever it is feasible to maintain the continuity of learning to give the best during quarantine for the accomplishment of our motto, we pledge to do our best for the rightful e-learning. We have a lot of methods for normal teaching classes but we have not seen any technology getting used for the deaf and dumb children, it is very difficult for them to study online in this era of fast growing technology.
✅ Checklist
Before you post the issue: