Subjective Answers Evaluation Using Machine Learning and Natural Language Processing |IEEE Project
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In this video, we dive deep into the world of Deep Learning and Natural Language Processing to evaluate subjective answers. Follow along as we guide you through the step-by-step process of building a powerful evaluation tool using advanced AI models.
📚 Project Overview:
Dataset Collection: Gathered a comprehensive set of answers.
Preprocessing: Cleaned and prepared the text data for analysis.
Feature Extraction: Utilized the BART model to extract key features from the text.
Similarity Detection: Trained another BART model to detect the percentage of similarity between the given answer and the original answer.
Web App Development: Built a user-friendly web application using Flask, HTML, and CSS.
This project showcases the potential of AI in revolutionizing the way we evaluate subjective answers, making the process more efficient and accurate.
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At Smart AI Technologies, we are dedicated to providing students with top-notch project solutions, complete with code and comprehensive documentation. Whether you're working on an academic project or looking to enhance your skills, our expert team is here to assist you every step of the way.
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IEEE Paper Referred are (As Base Paper) :
1. https://ieeexplore.ieee.org/document/...
2. https://ieeexplore.ieee.org/abstract/...
3.https://ieeexplore.ieee.org/document/...
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