This project analyses and correlates student performance with different attributes. Then at last, it determines most suitable algorithm from bunch of them.

Project for VTU result analysis, extraction and visualisations.

This Master thesis presents a Learning Analytics (LA) study conducted on RETOMadrID. The goal is to improve the platform by understanding students’ behavior using modern machine learning (ML) and data analysis techniques.

Developed an end-to-end machine learning project using Docker and AWS, and implemented an industrial-grade code with modular architecture. The project focused on student performance prediction, achieving high accuracy through various machine learning algorithms.

This repository contains a comprehensive analysis of student progress using various factors like extracurricular activities, parental support, gender, ethnicity, and more. The dataset includes 2,392 students and examines how different variables influence academic performance and participation in extracurricular activities.

This project focuses on analyzing student grades using a dataset stored in JSON format. The dataset includes student IDs, class IDs, and different types of scores (exam, quiz, and homework). The objective is to extract, clean, and analyze the data using Python, Pandas, and Matplotlib/Seaborn for visualization.

An advanced machine learning project for analyzing student performance, utilizing sociodemographic indicators. Hosted on AWS Elastic Beanstalk for real-time predictions and integrated with AWS CodePipeline for continuous integration and deployment.

Analyze, Visualize, and Predict student performance using Python, Streamlit, and Vertex AI!

A Flask web application that processes student test data and generates AI-powered personalized PDF reports with performance analytics, visualizations, and actionable recommendations using Google Gemini API.

This repository includes my basic python project: an Agriculture management system based projects which have been developed using some of python's basic modules like matplotlib (for graphs and illustrations), cv2 (for image processing) and Tkinter (GUI library to provide a user friendly interface).