• Supriya Sanjay Sasane
• Aishwarya Gulab Thorat
• Sayali Kiran Joshi

Evaluation systems at school, college, and University levels are in Objective and Subjective form as well. Systems for automatic evaluation of the objective type of tests already exist. Automation evaluation of descriptive answer is aimed at fast processing, less manpower, ease in record keeping and extraction. Our approach is mainly based on keyword match, sequence match, and quantitative analysis. Firstly, we will extract the handwriting from the student’s answer sheet in a Portable Document Format (PDF) form and then convert it to a text file. The system will evaluate the answer by extracting the important keywords from the student’s answer and compare those keywords with the predefined set of solutions. If any word in student's answer does not match with teacher answer then a synonym of that unmatched word is checked in the dictionary if synonym of that word match with teacher answer then an appropriate assessment of marks will be given to the student. The similarity score will give us the parameter to judge or evaluate the degree of correctness in the student answer.

: NLTK tool, PyQt4, Tokenizing, stemming, filtering, Descriptive answers.

"Automatic Evaluation of Descriptive Answers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.40-42, April-2019, Available :http://www.jetir.org/papers/JETIR1904M08.pdf

"Automatic Evaluation of Descriptive Answers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp40-42, April-2019, Available at : http://www.jetir.org/papers/JETIR1904M08.pdf