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  • Vishwajeet Hogale

    About Me

    Vishwajeet Hogale is an enthusiastic coder and creating tech that solves user's problems excites him.

    Machine Learning and Web Development are his strengths. He is a student at PES University pursuing his bachelor's in Techonology with major in Computer Science

    Skills

    Full Stack

    He is a full stack developer who knows Flask,Django,HTML,SQL,CSS and JS

    Machine Learning

    He has worked with multiple models and has done a couple of analysis based projects

    Deep Learning

    He has worked with CNN, ANN, GANs, Auto-Encoders, etc

    Projects

    Mountains

    Music Generation

    This project uses MIDI files of different songs and makes sequences of notes of found in the songs. Now this sequence data is fed to LSTM for generation of a new tune
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    Text Summarization

    This project uses an abstractive approach to summarize text given a paragraph. It uses News articles as a dataset and auto-encoders to give two lines summary of the articles.
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    Text Generation

    This project deals with generation of poems, when the LSTM model is given a few words to begin with it automatically produces a sequence of words thereby forming a poem.
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    Pet Clinic Management

    This project is a CRUD web app and it helps in maintaining aand analyzing different pets at a clinic.
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    Mask Detection

    This project uses openCV and CNN model to predict if a person is wearing a mask or not.
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    Cricket Analysis

    Analysis of professional athletes is very important as it helps in enhancing their performance.This project analyses the performance of players who played the 2011 Crick World Cup
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    Simple ChatBot

    Chat Bot is used in many places today and so this chatbot was able to identify the intent of a person's question and it replied back with an answer. This project is still under development but soon it'll be ready.
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    Fake News Detection

    Fake news can be really dangerous at times and the detection of such news plays a vital role in our society. This project detects fake news with an accuracy of 89%The work is still going to make the model better and soon this project will also be ready.

    Want to connect?

    Drop me a mail to collaborate

    ©2020 Vishwajeet Hogale