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Manisha Anaparthi

Self Introduction:

My name is Manisha Anaparthi. I am currently pursuing my Bachelor of Technology degree in Computer Science background at Rajiv Gandhi University of Knowledge Technologies, Srikakulam. I am curious to work with Machine Learning or cyber security projects.

  • ๐Ÿ‘‹ Hi, Iโ€™m @ManishaAnaparthi
  • ๐Ÿ‘€ my interests lies in Cyber security and artificial intelligence, machine learning and deep learning areas.
  • ๐ŸŒฑ Iโ€™m currently learning ..Cyber security,and NLP
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on internships based on technologies
  • ๐Ÿ“ซ How to reach me ...@[email protected]
  • โœจ fun fact : fact always fun to people ,reality never exists #LOL.
  • ๐ŸŽ‰Hobbies : music , workouts, Movies,spectator๐Ÿ‘€

@ManishaAnaparthi's Projects

busticketbookingsystem icon busticketbookingsystem

The Online Bus Ticket Booking System is a web-based application that allows users to search for bus routes, view schedules, book tickets, and make payments online. It connects passengers with bus operators, simplifying the process of reserving bus seats, planning journeys, and managing bookings.

desktop-voice-assistant-with-error-prevention icon desktop-voice-assistant-with-error-prevention

The original goal of this project was to develop an automated machine which can identify an error word and correct it. This project includes both error detection and error prevention methods.

ep_wipro icon ep_wipro

All Notes , PDFs , Demos , Diagrams ,Projects

machine-learning- icon machine-learning-

In this machine learning documentation your doubts meets about regressions types and so far, and the documentation includes convolution neural networks and tasks ere you may see and explore your knowledge

spam-detection-in-social-media-employing-machine-learning icon spam-detection-in-social-media-employing-machine-learning

This project Aims to Develop an Machine learning Model to Error Free Analysis of YouTube spam Detection and Analysis of Views, counts fo video and Detection of Phishing URLs. With the Help of machine learning algorithms i.e Naive bayes ,KNN. and this model is primarily impactful for the Developer side of the YouTube Application.

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