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valuate.ai

valuate.ai

Revolutionizing Grading: Harnessing AI for Effortless and Precise Answer Paper Evaluation in Education

Created on 14th November 2023

valuate.ai

valuate.ai

Revolutionizing Grading: Harnessing AI for Effortless and Precise Answer Paper Evaluation in Education

The problem valuate.ai solves

Our application streamlines the grading process for educational institutions, specifically designed for professors and teachers. Upon registration, educators can effortlessly create a valuation form, representing the specific exam they intend to assess. They have the flexibility to upload both the question paper and the criteria, serving as the answer key for evaluating responses.

Once this foundation is laid, teachers can seamlessly upload batches of answer papers in various formats, including PDF or images. The AI takes the lead at this stage, utilizing computer vision to recognize and analyze handwritten responses. By comparing these answers against the provided criteria, the AI assigns marks to each question, significantly streamlining the grading process.

Following this initial evaluation, teachers have the opportunity to review the marks assigned by the AI. The system provides remarks, explaining the rationale behind each mark, and displays a progress indicator in red, green, or yellow to indicate the AI's confidence level in its assessment. Teachers can then make adjustments to the marks manually or request the AI to reevaluate a specific question by providing additional context.

Finally, teachers can export the overall marklist of the students, which includes the evaluated marks. The export feature supports various formats such as PDF, CSV, providing educators with a versatile tool for managing and comprehensively assessing student performance.

In essence, our application seamlessly integrates advanced technology to automate and enhance the efficiency of traditional paper-grading systems, empowering educators with a robust tool for managing and evaluating student performance.

Challenges we ran into

We encountered several challenges during the development process, with two key hurdles standing out. Firstly, comprehending the intricacies of computer vision posed a significant challenge. The complex algorithms and methodologies involved in teaching machines to recognize and interpret handwritten responses required in-depth understanding and expertise.

Secondly, streamlining the verification process for answer papers from various file formats and aligning them accurately presented its own set of challenges. This task involved developing robust mechanisms to handle diverse file types seamlessly, ensuring a smooth and accurate matching process.

Despite these challenges, our team navigated through them with determination and ingenuity, ultimately enhancing our application's capabilities and refining the user experience.

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