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Papers by Prashant Itankar

International Research Journal of Modernization in Engineering Technology and Science, May 14, 2023

An earthquake is a natural calamity that is well-known for the devastation it causes to both natu... more An earthquake is a natural calamity that is well-known for the devastation it causes to both naturally existent and artificial structures, including as buildings and residential areas. Seismometers are used to measure earthquakes because they detect vibrations induced by seismic waves travelling through the earth's crust. To forecast earthquakes, an examination of current machine learning classifier approaches is employed. Machine learning algorithms such as Logistic Regression, Support Vector Machine (SVM), Random Forest Classifier, and K-Nearest Neighbours,decision tree are used to forecast earthquakes. After examining all of the previously utilised methods, the best algorithm will be considered. The method used to forecast the property will be investigated,as will the data analysis.

Zenodo (CERN European Organization for Nuclear Research), May 13, 2021

The internet is comprised of web pages, news articles, status updates, blogs, and much more. It i... more The internet is comprised of web pages, news articles, status updates, blogs, and much more. It is difficult to navigate through this data as it is unstructured and usually discursive. Manual summarization of large documents of texts is tedious and error-prone. Also, the results in such kind of summarization may lead to different results for a particular document. Thus, Automatic text summarization has become important due to the tremendous growth of information and data. It chooses the most informative part of the text and forms summaries that reveal the main purpose of the given document. It yields a summary produced by a summarization system which allows readers to comprehend the content of the document instead of reading every individual document. So, the overall intention of Text Summarizer is to provide the meaning of the text in fewer words and sentences. To perform extractive text summarization, we propose to use a Recurrent Neural Network (RNN)-a type of neural network that can perform calculations on sequential data (e.g. sequences of words)-as it has become the standard approach for many Natural Language Processing tasks.

International Journal of Advanced Research in Science, Communication and Technology

In this modern age, the overall crime rate is increasing day-by-day and to cope up with this the ... more In this modern age, the overall crime rate is increasing day-by-day and to cope up with this the law enforcement departments too should find ways that would speed up the overall process and help them in bringing one to justice. One such way can be using face recognition technology for identifying and verifying the criminal. The traditional approach here is to use the hand-drawn face sketches drawn by forensic sketch artist to identify the criminal, modernizing this would mean using the hand drawn sketch and then matching them with the law enforcement departments database to identify the criminal. We believe, there is a need for creating an application which would not just provide a set of individual features like eyes, ears, mouth, etc. to be selected to create a face sketch but also would help in finding the criminal much faster and efficiently.

The internet is comprised of web pages, news articles, status updates, blogs, and much more. It i... more The internet is comprised of web pages, news articles, status updates, blogs, and much more. It is difficult to navigate through this data as it is unstructured and usually discursive. Manual summarization of large documents of texts is tedious and error-prone. Also, the results in such kind of summarization may lead to different results for a particular document. Thus, Automatic text summarization has become important due to the tremendous growth of information and data. It chooses the most informative part of the text and forms summaries that reveal the main purpose of the given document. It yields a summary produced by a summarization system which allows readers to comprehend the content of the document instead of reading every individual document. So, the overall intention of Text Summarizer is to provide the meaning of the text in fewer words and sentences. To perform extractive text summarization, ...

International Journal of Scientific Research in Science, Engineering and Technology, 2021

Execution of Word Sense Disambiguation (WSD) is one of the difficult undertakings in the space of... more Execution of Word Sense Disambiguation (WSD) is one of the difficult undertakings in the space of Natural language processing (NLP). Age of sense clarified corpus for multilingual WSD is far off for most languages regardless of whether assets are accessible. In this paper we propose a solo technique utilizing word and sense embeddings for working on the presentation of WSD frameworks utilizing untagged corpora and make two bags to be specific context bag and wiki sense bag to create the faculties with most noteworthy closeness. Wiki sense bag gives outer information to the framework needed to help the disambiguation exactness. We investigate Word2Vec model to produce the sense back and notice huge execution acquire for our dataset.

Many students nowadays are facing problems in deciding their career. As the students are going th... more Many students nowadays are facing problems in deciding their career. As the students are going through their academics, they need to realize their capabilities and check their areas of interest so that they will decide which career is best suited for them. This system will help nowadays youth to decide which career path is best for their future that brings out the best results if they choose that prescribed career. This will help in improving the performance of the student and also motivate their interest so that they will be focused on their targeted career. This system is based on a test that a student has to perform and depend on the answers that are provided by the student, it will generate a summarized result. The main aim of this system is to provide an overview of the Artificial Intelligence techniques that we used to predict the performance of the student. This system will also be focusing on the way we are using prediction algorithms to identify attributes in student data. ...

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

Natural language processing (NLP) is very much needed in today’s world to enhance human-machine i... more Natural language processing (NLP) is very much needed in today’s world to enhance human-machine interaction. It is an important concern to process textual data and obtain useful and meaningful information from these texts. NLP parses the texts and provides information to machine for further processing. The present status of NLP’s computational process of identifying the meaning (sense) of a word in a particular context is ambiguous, where the meaning of word in the context is not clear and may point to multiple senses. Ambiguity in understanding correct meaning of texts is hampering the growth and development in various fields of Natural language processing applications like Machine translation, Human Machine interface etc. The process of finding the correct meaning of the ambiguous texts in the given context is called as word sense disambiguation (WSD). WSD is perceived as one of the most challenging problem in the Natural language processing community and is still unsolved. It is ...

International Journal of Advance Research, Ideas and Innovations in Technology, May 29, 2021

Earthquake forecasting is one of the most significant issues in Earth science because of its deva... more Earthquake forecasting is one of the most significant issues in Earth science because of its devastating consequences. Current earthquake forecasting scientific studies focus on three key points: when the disaster will occur, where it will occur and how big it will be. Scientists can predict where an earthquake will occur but it has been a major challenge to predict when it will occur and how powerful it will be. When the earthquake happens, we must fix this project. Specifically, you predict the time left before laboratory earthquakes occur from real-time seismic data that will have the potential to improve earthquake hazard assessments that could save lives and billions of dollars in infrastructure.

Proceedings of the International Conference on Computer Applications — Computer Applications - I, 2010