Automated Assignment Grading System
Designed and implemented an automated grading system using Flask and LLMs for consistent assignment evaluation and personalized feedback. Integrated with educational platforms through RESTful APIs. Project Description: Designed and implemented an automated grading and feedback system for educational institutions, leveraging Python and machine learning techniques. The system utilizes Large Language Models (LLMs) to evaluate student assignments, providing consistent grading and personalized feedback based on predefined rubrics. The solution integrates with existing educational platforms through RESTful APIs, allowing real-time submission and grading. A user-friendly interface was to developed using React.js to enable educators to monitor grading progress and adjust criteria as needed.
Services
Responsibilities
Python
Flask
LLM Frameworks
RESTful APIs
React.js
Docker
Lang Chain