Projects
Big Data Analysis on Airlines Data
This project is based on Big data analysis using MapReduce on Hadoop, Pig, and Hive using
the data on Airline On-Time Statistics and Delay Causes from
http://stat-computing.org/dataexpo/2009/the-data.html
This is dataset containing information about airline schedule.
In this project I tried to answer the following questions:-
- Which month, time or day of week contributed in maximum delay in airline departure and/or arrivals?
- At what time during the day the airlines are most busy?
- What were various causes of delay?
- Depending on departure and arrival time, which destination is best efficient from which starting city? Apart from the above analysis, I have done more analysis using Apache Hive and Apache Pig.
View Project
BookBugs: Books management & review IOS App
This is a book review app which will let the user to search books by title, view their
information, give reviews and view reviews given by others.
Technology Used: Swift 5, Xcode 9, IOS OS 10
Features:
- Used Goodreads API to fetch the data of the books.
- Used Firebase Authentication email and password-based authentication
- Used Firebase GoogleSignIn feature to let the user sign in by using google
- Used Firebase Database to save User data and all the Reviews created.
- Used AutoLayout for layout positioning and UI
FoodieSquad: Restaurant review web application using MEAN
We developed a Restaurant and food review app as our final project for the course on Web
Design.
It is developed using MongoDB, Express, Angular 7 and NodeJS (MEAN).
The restaurant data is taken from Eatstreet API.
Also used Angular Material UI for the styling of user reviews.
Features:
- User gets to see the home page and can search for any restaurant or cuisine.
- Clicking on Search will redirect to restList view which populates the restaurants.
- Used MIME-Type validation for images.
BlogoSphere: Blog Sharing Application Using WebAssemly in C# & Blazor
Blogosphere is a post based website where posts are made, edited, organized
by its community of users in the form of posts.
Roles:
Admin can login and manage the posts along with the user management system.
Users can login, post, delete and edit the post.
Connectivity: We have used Mongo DB at the backend to store the user data
and posts in the form of documents/collections.
Using Blazor to create server and client and from the server, we made the connection with
the database.
The client hits the server which then extracts data from the database.
PUBG Finish Place Placement Project in Data Science
As a part of coursework in Advances in Data Science and Architecture, we made a project
based on the Kaggle dataset of PUBG game. Link-
https://www.kaggle.com/c/pubg-finish-placement-prediction
Our Target variable was winPlacePerc:
This is a percentile winning placement, where 1 corresponds to 1st place, and 0
corresponds to the last place in the match.
The data set had columns including various variables of the game like total players, total
time, number of kills, etc.
Exploratory Data Analysis (EDA) & Feature Engineering
Final Prediction:
Since it was a Regression Problem, we predicted the final ranking of the player depending on
the past
data.
Class Scheduler Using Genetic Algorithm
- Implemented genetic algorithm to solve one of the NP-complete problems of timetable scheduling
- Created a class scheduler using the given constraints like available classrooms, professors, student group size, courses, and available time slots.
- To optimize my solution I used Parallel Processing to calculate fitness functions and used HashTable to store the values of the fitness function to improve the running time of my application.
IOT based Home Management System
- Java Swing based IOT application for managing user home using ecosystem model
- It enabled the user to automatically refill home supplies, book parking space using google maps and event management in the society.
- We created a management system for homes in societies using IOT in which all the necessary tasks like grocery management, bill payment, parking management, security, and maintenance can be completed automatically by making the system communicate with their respective organizations.
- Customer wallet, parking via Google maps, grocery Management were the key features including analysis on the money transactions, products ordered and a real-time e-mail when the product is delivered to the customer.
- It enabled a better living experience for home owners as well as will be beneficial for other businesses having stakes in the management of home like retailers, security agency, billing teams.