International Journal of Advanced Research in Computer and Communication Engineering

Abstract: This project is about building a helpful computer tool to find out if students might have a learning disability (LD) and then give them special advice. First, we collected information about many students, like their age, grades in different subjects (math, reading, English, science), and other things like if they have trouble paying attention or a family history of LD. We used this information to train two computer brains, called machine learning models (Random Forest and Support Vector Machine), to guess if a new student might have an LD. We picked the best brain based on how accurate it was. If our computer brain thinks a student might have an LD, it doesn't just stop there. It then asks the student to take small quizzes in different areas like math, grammar, memory, and how they solve problems. After the student finishes these quizzes, the computer figures out which areas they struggled with the most. For these tough areas, the system then gives personalized suggestions. For example, it might suggest certain yoga poses to help with focus or specific exercises to practice for memory. All the results, predictions, and advice are saved securely. This project is a simple but useful way to help students and their families get a better understanding and find ways to support learning.

Keywords: Learning Disability, Machine Learning, Prediction, Personalized Recommendations, Educational Support, Data Analysis, Random Forest, Support Vector Machine, Student Assessment, Yoga Exercises.

Downloads: | DOI: 10.17148/IJARCCE.2025.14814