Abstract
With the advent of the Internet age, there has been an exponential increase in the generation of data due to the easy accessibility of the computational resources. Although the benefits of the information age have been reaped by every strata of the society, some are still lagging behind. One of the sections of society which has not been the main target of the software industry is the farming community. We intend to build a comprehensive product for the farming community wherein the farmer can get all the information he/she needs for the cultivation of crops. The data provided would be in Marathi language, the language of the common farmers in Maharashtra state. This will facilitate the user-friendliness and accessibility to the farmers. This paper presents a system which would accept the data in various multimedia formats and convert it into a common intermediate form. The intermediate form would be a text file. The system built would be capable of categorizing data automatically. The algorithm used for clustering is LINGO.
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Acknowledgements
We express our sincere thanks to our Project Guide Prof. Sushma Vispute for her encouragement and support throughout our project, especially for the useful suggestions given during the course of project development. We would also like to thank Computer Engineering Department of Pimpri Chinchwad College of Engineering for their unwavering support.
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Prachi, S., Kirti, P., Pooja, N., Alisha, S., Sushma, V. (2018). Automatic Integration and Clustering of Marathi Documents in Different Formats for Effective Information Retrieval. In: Tiwari, B., Tiwari, V., Das, K., Mishra, D., Bansal, J. (eds) Proceedings of International Conference on Recent Advancement on Computer and Communication . Lecture Notes in Networks and Systems, vol 34. Springer, Singapore. https://doi.org/10.1007/978-981-10-8198-9_36
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