Arpit Mishra

Fresher

Full Stack Developer | Web Developer

Skills

  • HTML

    CSS

    JAVASCRIPT

    REACT

    NODEJS

    MONGODB

    MYSQL

    PHP

about me


I am a hard working, honest individual. I am a good timekeeper, always willing to learn new skills. I am friendly, helpful and polite, have a good sense of humour. I am able to work independently in busy environments and also within a team setting. I am outgoing and tactful, and able to listen effectively when solving problems, I have a creative mind and am always up for new challenges. I am well organized and always plan ahead to make sure I manage my time well.

Education


HIGHER SECONDARY EDUCATION

Completed my higher secondary degree from Karim City College Jamshedpur, Board: Jharkhand Academic Council Ranchi With 7.3/10 CGPA.

Karim City College

2014-2016

BACHELORS IN COMPUTER SCIENCE ENGINEERING

Completed my Bachelor of Technology from Ramaiah University of Applied Science (UGC) Bangalore, With an average CGPA of 6.74/10.

Ramaiah University

2016-2021

Experience


NO EXPERIENCE I

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Google

0000-2021

NO EXPERIENCE II

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Apple

0000-2021

Project


EMOTION BASED MUSIC PLAYER

we have build an emotion-based Music Player using Python, OpenCV, Android Studios, and SIFT Algorithm. Our project detects the mood of the user and plays a song or playlist according to his mood. The project uses a web camera to capture the image of the user, it then classifies the facial expression as happy, sad, neutral, or angry and then plays the song according to the input image. The major advantage of this project is that the user doesn’t need to implement and choose songs manually.

Python, OpenCV

2019-2020

STOCK MARKET PREDICTION

In this project we have to train the system from the historical data obtained for the set of companies through yahoo finance API. After that the classification is perfomed based on supervised machine learning algorithm namely the random forest which predicts the class to which the new data set belongs and finally conclusions can be made of which companies will have a growth or fall based on the current input data attributes

Python, Machine learning

0000-2021