K

Knewton Ed

communication between teacher and students, Teacher can download the uploaded pdf, verify various pdfs if it is copied using ml model or get summary, student can predict career using ml and dropout

K

Knewton Ed

communication between teacher and students, Teacher can download the uploaded pdf, verify various pdfs if it is copied using ml model or get summary, student can predict career using ml and dropout

The problem Knewton Ed solves

The COVID-19 pandemic has had a number of consequences in different Sectors, one of which was the Education Sector.

Unfortunately,Due to lack of physical interaction within school premisis , students and teachers had tried to adopt certain ways to address their concerns in virtual way.Whether it was traditional way of dealing with exams by faculties or students , or how students interacted with their teachers regarding their doubts , aspirations ,concerns , Virtual Distance is something which h
Virtual Distance is something which has been a major problem in this sector and not that effective as compared to physical and remote way!
Faculty or Student can retrive their information from database anytime using this platform

Objectives:
Keeping all the conerns in our mind , we have tried to develop a smart AI Based digital Platform Using Machine Learning /AI and Web based skills to make a secure web application

  1. To have a platform where student can upload their assignments.

  2. To check plagiarism of the assignments sent by the students, the teacher can check if any student had copied the assignments or not.

  3. To give a short summary and finding the main key points in the assignment so that it could save time for the teacher.

  4. Student counselling where student can predict a career or predict dropout rate using our ml model

  5. Auto Evaluate Feature which can help to automatically evalaute marks after uloading documents

  6. Student can predict Dropout rate using ml model to decide whether to join or not a particular program

CONCLUSION:-
This can help to increase and strengthen interaction and communication between faculty and student more efficiecntly and can help to deliver and tackle complex solutions more easily !

Challenges we ran into

  1. To create reliable api using Nodejs
  2. To Store and retrive data from database
  3. to manage and display various datas across users
  4. Creating a reliable ml model
  5. finding Proper Datasets
  6. Hosting Ml models
  7. Creating a Great UI Exp

Discussion