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Multiple Choice Questions for any text image, either from long boring books or just some random hand written notes of yours. These questions are not from only that text image but also from internet, so that you can also encounter new questions i.e. extra facts, and who denies extra knowledge. Further it helps to revise and keep you up to date with your learning interests. In this paper we have aggregated different natural language processing technologies (NLP) and implemented them by their effective use for our project Automatic Quiz Generator in which text image is to be uploaded on API we provide so that the user gets the Multiple Choice Questions (MCQs) by searching online. We shall achieve that with the help of OCR, Keyword Extraction, Web Scraping, Django and different NLTK (Natural Language Tool Kit) tool.

Multiple Choice Questions for any text image, either from long boring books or just some random hand written notes of yours. These questions are not from only that text image but also from internet, so that you can also encounter new questions i.e. extra facts, and who denies extra knowledge. Further it helps to revise and keep you up to date with your learning interests. In this paper we have aggregated different natural language processing technologies (NLP) and implemented them by their effective use for our project Automatic Quiz Generator in which text image is to be uploaded on API we provide so that the user gets the Multiple Choice Questions (MCQs) by searching online. We shall achieve that with the help of OCR, Keyword Extraction, Web Scraping, Django and different NLTK (Natural Language Tool Kit) tool.

Multiple Choice Questions for any text image, either from long boring books or just some random hand written notes of yours. These questions are not from only that text image but also from internet, so that you can also encounter new questions i.e. extra facts, and who denies extra knowledge. Further it helps to revise and keep you up to date with your learning interests. In this paper we have aggregated different natural language processing technologies (NLP) and implemented them by their effective use for our project Automatic Quiz Generator in which text image is to be uploaded on API we provide so that the user gets the Multiple Choice Questions (MCQs) by searching online. We shall achieve that with the help of OCR, Keyword Extraction, Web Scraping, Django and different NLTK (Natural Language Tool Kit) tool.

Multiple Choice Questions for any text image, either from long boring books or just some random hand written notes of yours. These questions are not from only that text image but also from internet, so that you can also encounter new questions i.e. extra facts, and who denies extra knowledge. Further it helps to revise and keep you up to date with your learning interests. In this paper we have aggregated different natural language processing technologies (NLP) and implemented them by their effective use for our project Automatic Quiz Generator in which text image is to be uploaded on API we provide so that the user gets the Multiple Choice Questions (MCQs) by searching online. We shall achieve that with the help of OCR, Keyword Extraction, Web Scraping, Django and different NLTK (Natural Language Tool Kit) tool.

Multiple Choice Questions for any text image, either from long boring books or just some random hand written notes of yours. These questions are not from only that text image but also from internet, so that you can also encounter new questions i.e. extra facts, and who denies extra knowledge. Further it helps to revise and keep you up to date with your learning interests. In this paper we have aggregated different natural language processing technologies (NLP) and implemented them by their effective use for our project Automatic Quiz Generator in which text image is to be uploaded on API we provide so that the user gets the Multiple Choice Questions (MCQs) by searching online. We shall achieve that with the help of OCR, Keyword Extraction, Web Scraping, Django and different NLTK (Natural Language Tool Kit) tool.