JMihir's arena

Who Am I?

Hi, I'm Mihir Shri. I'm a second year Computer Science undergrad pursuing my B.Tech from the Indian Institute of Information Technology, Design and Manufacturing, situated in Kancheepuram, Tamil Nadu.

From an early age I’ve always been deeply interested in computing. It was my dad, introducing me to the computer systems at his work place that first sparked this interest. I can always remember the feeling of wanting to know just how computers worked, why they worked and what else they could do.

This interest never left me, only growing more profound and passionate with every new discovery I made. From communicating with an artificial intelligence to seeing the wonders of the Internet for the first time, computers have left me fascinated with just how much power yet mystery they hold.

Apart from the things I have learnt in college, I was always keen to know how actually the AI works. How is it that whenever you finish watching a movie on netflix, it recommends you the exact content that you'd like to see, or how does youtube know what kind of videos I like and always puts them on the top. It was my curiosity which led me to diving deep into the field of AI, specifically Machine Learning and Deep Learning.

Another thing that sparked my interest since I started my sophormore was Competitive Coding. I'm active on a lot of competitive coding platforms, hackerrank, codechef, hackerearth, to name a few and I'm always looking to increase my grasp on Data Structures and Algorithms.

Spam E-mail Detection May, 2020

Spam e-mails are irritating for everyone. Sometimes they pop up in our inboxes or, at other times an important mail can go into the spam folder too.
I built an e-mail spam detector based on a data of 5000 spam and non-spam e-mails with an accuracy of 98%.

Language used: Python
IDE: PyCharm
ML algorithm: Naive Bayes
Concept: Count Vectorizer technique for Natural Language Processing

Content Based Movie Recommender System June, 2020

Recommender systems are becoming more and more common these days. With the growing amount of data, companies have about us, it is getting easier for them to recommend us the exact content that we would like to see. Be it video suggestions on youtube, search suggestions on google, or movie recommendations on Netflix, everything is handled by these recommender systems.
I built a basic content-based movie recommender system that recommends the top 10 movies the user would like to see based on the last movie they watched.

Language used: Python
IDE: PyCharm
Concept: TF IDF Vectorizer technique for Natural Language Processing

Cat vs Non Cat May, 2020

Differentiating between a cat and a dog is an easy task for humans but for computers, it proved to be quite challenging until the introduction of deep and convolutional neural networks.
I built an Image classifier taking the classical cat vs non-cat problem in which the user needs to feed an image to the code and it will output whether the input image is that of a cat or not.

Language used: Python
IDE: PyCharm
Concept: Deep learning technique(without using any Deep Learning libraries)

Lost and Found Web application April - June, 2020

It was a group project comprising of 5 members in the group. Everyone contributed heavily to make this project a success.

My role was:
1. Front-end development using HTML5 and CSS3.
2. Data handling and retrieval using PHP and Jquery.

Accident Prevention on Mountain Roads July, 2019 - Present

Problem Statement:
Leading number of accidents on mountain roads, demanding a better road safety measure, and a smart accident prevention methodology.

Predicting Stock Prices using Linear Regression July, 2019 - Present

Used Multivariate Linear Regression to predict stock prices 35 days into the future
The code predicts the stock prices and plots a graph between the dates and stock prices including the already trained data and the predicted data.

Language used: Python
IDE: PyCharm
Cocept: Multivariate Linear Regression

Courses Completed

The following are the list of courses that I have successfully passed till now during my B.Tech course (2018-Present):