India's education system has faced a number of challenges, some of the key issues includes quality of education, infrastructure, gender disparities, shortage of qualified teachers and educators.
It is important to note that the role of schools and teachers is not just to help students pass exams, but also to provide a well-rounded education to students. However, if a student is struggling academically, it is the responsibility of teachers and schools to provide additional support and resources to help them improve but still teachers and schools are not helping the students who may fails the exam and can take dropout. It is also important to recognize the systemic issues that contribute to students failing exams and work towards addressing them. Schools in India lack basic infrastructure, such as adequate classrooms, sanitation facilities, safe drinking water. This can have a significant impact on their ability to learn and the main reason for the early dropouts of female students.
Here, we are predicting whether the students will go for higher studies or they will early dropout from schools by creating a database of their academic record, facilities provided in schools and financial condition of their parents. At the same time we are maintaining the records of the expenses of the schools from the government funds.
This database will be used by teachers and schools to identify students who may be at risk of dropping out and provide them with additional support and resources to help them succeed academically with sustained effort and investment from govt. . By utilizing this database, teachers can more effectively identify struggling students and provide personalized attention and support to ensure they stay engaged and motivated to complete their education. Finally, our plan is to assess existing schemes and create a portal based on their efficacy that will be directly available to the government, with the goal of integrating AI into the education system.