Feedback Forge – A Tool to Evaluate Your Answer Using AI

Feedback Forge

A Tool to Evaluate Your Answer Using AI

Atul Bhardwaj, Riya Gupta

Guide:  Prof.  Suman Kumar Jha, Assistant Professor,

Department Of Computer Science and Engineering

IIMT College of Engineering

Abstract

Feedback Forge is an innovative online platform designed to enhance users' writing skills through personalized feedback. Traditional feedback mechanisms often struggle to provide timely and relevant guidance, hindering skill development. In response, Feedback Forge leverages advanced technologies, including artificial intelligence and machine learning, to deliver tailored feedback at scale. This paper explores the landscape of feedback mechanisms, highlighting the limitations of traditional methods and the potential of technology-driven solutions. Key themes include the importance of feedback in skill development, challenges faced by traditional mechanisms, and the promise of technology-driven approaches.

Moreover, Feedback Forge addresses a critical need in education and professional development by democratizing access to high-quality feedback. It offers a solution to individuals seeking to refine their writing skills independently, without the constraints of traditional feedback channels. By providing personalized feedback, Feedback Forge empowers users to identify areas for improvement, refine their writing techniques, and achieve their learning objectives effectively.

In conclusion, Feedback Forge represents a significant advancement in feedback provision, bridging the gap between traditional practices and modern technology. Its implementation underscores the importance of leveraging AI-driven analysis to optimize learning outcomes in the digital age. This paper advocates for continued exploration and evaluation of technology-driven feedback mechanisms to promote skill development and lifelong learning in diverse contexts.