anand-ctrl/student_monitoring_system

AI Based Student Monitoring System

Introduction:

To suggest and evaluate the effective teaching methodologies, educational institutions should regularly perform tracking of dozens of indicators related to the academic performance of their students. Considering the complex nature of modern education, it’s barely possible to complete such a task manually. Fortunately, assessment apps allow educational institutions to monitor, visualize, and analyze the efficiency of education with ease. An approach based on data tracking and analysis helps to define if there’s the need to change the used studying programs for making better decisions and achieving better academic results. In addition to academic performance the co-curriculars and volunteer work performed by students must also be taken into consideration to get a more comprehensive assessment of potential employability and opportunities. All this added with interests displayed by students and their commitment to them can give a better evaluation than standard methods.

Objectives:

• If we consider our new education policy, this project can help students in choosing electives related to their field of interest. Eg. In the US education system, students need to decide their major after completing 2 years of graduation. Here, our project can play a big role in suggesting major related courses.
  

• It helps our CDGC(Carrier Development & Guidance Centre) for screening students for specific profiles.
  

• Also, students can target specific companies (which will be suggested by our app).
  

• Further, we can help students by suggesting the right career path for them.
  

Working:

i. To establish a baseline the student will be taking a self assessment test, which will lay the foundation of our suggestion algorithm. From this test we will get to know the student's initial field of interests.This could help in analysing his/her personality & cognitive skills.

ii. Based on our first assessment some suggestions will be made, the success of these suggestions is assessed and further recommendation is based on this.

iii. The self assessment test can be taken multiple times and changes to preferences and interests can be made any time.

iv. The Skills used in co- curriculars and projects and initiatives are also taken into account for making suggestions and increasing employability projection of students.

Required Software Technologies:

1. HTML
2. CSS
3. Bootstrap
4. Django
5. Sqlite/PostgreSQL

Website:

https://student-monitoring-system-ai.herokuapp.com/