
GradeLab
GradeLab is an AI-powered educational tool designed to automate the grading process of handwritten exams, thereby enabling educators to focus more on teaching than paperwork.
At its core, GradeLab uses large language models (LLMs) and Optical Character Recognition (OCR) to convert handwritten responses on scanned exam sheets into digital data, which is then processed against a predetermined answer key or Web Knowledge.
This revolutionizes paper grading and increases grading accuracy. An integral part of GradeLab's offering is the provision of a detailed, AI-powered feedback report for each student.
It analyzes student responses, identifies areas for improvement in student performance, and provides personalized comments, much like a human grader would.
The system also offers real-time tracking of student performance across exams, data-driven analytics and identifies student strengths and areas for improvement.
Another key feature of GradeLab is its ability to ensure consistency in grading, mitigating subjectivity and variability often associated with human graders.
The AI grading system includes a robust reevaluation feature, designed to add custom rules on the grading process, thus bringing transparency and flexibility to the process.
Releases

Pricing

Prompts & Results
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835,606635v1.6 released 15d agoFree + from $12/moReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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28,799395v1.0 released 11mo agoFree + from $35/moThis team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
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If you liked GradeLab
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76513Released 2y agoFree + from $3.99You can organize your texts and generate different types of questions. Pricing looks generous too for the quality.
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16,936135v2.0 released 1y agoFree + from $6.99/moI like the details in the error reports, it makes it easy to share with the students, and the bulk upload feature makes it really fast to grade a lot of essays at once.
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