Pinned Repositories
Explore-Chicago-App
Android Marshmallow App that lets you explore Chicago Hotels and Restaurants . The application uses Fragments and Broadcast receivers. Handles Configuration Changes . Fun App that lets you decide where to eat / stay.
Graphical-Password-Authentication-System
An authentication system using Java, MySQL that uses multiple images and integrated sound signatures for user authentication with increased levels of security. Utilized Java Swings for front end GUI and a backend MySQL database. Combined the existing cued click point algorithm with the persuasive feature to influence user choice. The application can be integrated with the Gmail App , or any other application.
Music-Player-App
Android Marshmallow App that creates a Music Player Service . Service runs in the background . Supports functionality like play,pause,stop,resume etc.
Tic-Tac-Toe-App
Android Marshmallow App that generates a highly intelligent Tic-Tac-Toe game. Its A CPU vs CPU game and chooses the winner of each game. Implemented the concept of threads with handlers( two worker threads communication with UI Thread).
Social-Recommendation-Expert-System
Twitter-Sentiment-Analysis-using-Apache-Spark-
Accessed the Twitter API for live streaming tweets. Performed Feature Extraction and transformation from the JSON format of tweets using machine learning package of python pyspark.mllib. Experimented with three classifiers -Naïve Bayes, Logistic Regression and Decision Tree Learning and performed k-fold cross validation to determine the best.
RideSharing
The main aim of this project is to combine Individual trips to shared trips to reduce total distance travelled by taxies and to reduce the number of trips. To achieve this we have used k-means clustering and some Trip matching techniques with passenger count and delay time constraints. We also evaluated distance saved and number of trips saved before and after ridesharing. Installing Tested our approach with New york city real time data. You can download the dataset from the link below. (dataset - https://uofi.app.box.com/NYCtaxidata/2/2332219935 ) Install python in your system (2.6 or above) Install mysql database and install package mysql.connector to connect to MySQL database from python To install Graphhopper API and build the function to calculate the distance and time between two points : The New York OSM file can be obtained from: http://download.geofabrik.de/north-america/us/new-york.html Install the latest JRE and get GraphHopper Server as zip (~9MB) Upzip the GraphHopper file and put the OSM file in the same dictionary. Run the command from window cmd under the dictionary: java -jar graphhopper-web-0.6.0-with-dep.jar jetty.resourcebase=webapp config=config-example.properties osmreader.osm=new-york-latest.osm.pbf Please note that Graphhopper must be running all the time while algorithm is running. Run Run the rideshare python file from the repositories using whichever python IDE you are working on.
AdapterViews
Modeling different ML models from kaggle
WebAnnoTSV-converter
CLI prototype to read, write and transform webanno tsv 3.2 format files.
Upasna22's Repositories
Upasna22/WebAnnoTSV-converter
CLI prototype to read, write and transform webanno tsv 3.2 format files.
Upasna22/AdapterViews
Modeling different ML models from kaggle
Upasna22/ML-Notebooks-
Trying my hand in various Machine Learning algorithms to solve problems from Kaggle
Upasna22/Data-Cleaning
Analyzes a database that contained uncertain and imprecise references (dirty data). Code cleanes the dataset using proper transformation rules and spelling checks in Python. Also removes frequently occurring stop words and implements spell-check using Python Library PyEnchant. Finally information is queried from the cleaned dataset to test accuracy. Implemented Edit distance and Jaccard distance to query the dataset.
Upasna22/Data-Mining-of-Morningstar-s-Twitter-Data
Upasna22/RideSharing
The main aim of this project is to combine Individual trips to shared trips to reduce total distance travelled by taxies and to reduce the number of trips. To achieve this we have used k-means clustering and some Trip matching techniques with passenger count and delay time constraints. We also evaluated distance saved and number of trips saved before and after ridesharing. Installing Tested our approach with New york city real time data. You can download the dataset from the link below. (dataset - https://uofi.app.box.com/NYCtaxidata/2/2332219935 ) Install python in your system (2.6 or above) Install mysql database and install package mysql.connector to connect to MySQL database from python To install Graphhopper API and build the function to calculate the distance and time between two points : The New York OSM file can be obtained from: http://download.geofabrik.de/north-america/us/new-york.html Install the latest JRE and get GraphHopper Server as zip (~9MB) Upzip the GraphHopper file and put the OSM file in the same dictionary. Run the command from window cmd under the dictionary: java -jar graphhopper-web-0.6.0-with-dep.jar jetty.resourcebase=webapp config=config-example.properties osmreader.osm=new-york-latest.osm.pbf Please note that Graphhopper must be running all the time while algorithm is running. Run Run the rideshare python file from the repositories using whichever python IDE you are working on.
Upasna22/Twitter-Sentiment-Analysis
Upasna22/Parking-Lot-Multilevel-Design--Java
An implementaion of Parking Lot Multilevel Design- Java.
Upasna22/Reservation-System-Design-
A Restaurant Reservation System created in Java.
Upasna22/Input-Sensitive-Profiling-of-multi-threaded-C-application-Bitcoin-
Performed input-sensitive profiling of the multithreaded C++ application “Bitcoin” (A consensus network that enables a new payment system with completely digital money) .Found situations where combinations of locks can significantly worsen the performance. Proposed solutions to the deadlocks causing the performance degradation.
Upasna22/Social-Recommendation-Expert-System
Upasna22/Reformatting-Data-using-BeautifulSoup
Web scraping using Beautiful Soup to retrieve data that exists on any website, and convert it into a format that is usable for analysis.
Upasna22/Twitter-Sentiment-Analysis-using-Apache-Spark-
Accessed the Twitter API for live streaming tweets. Performed Feature Extraction and transformation from the JSON format of tweets using machine learning package of python pyspark.mllib. Experimented with three classifiers -Naïve Bayes, Logistic Regression and Decision Tree Learning and performed k-fold cross validation to determine the best.
Upasna22/Graphical-Password-Authentication-System
An authentication system using Java, MySQL that uses multiple images and integrated sound signatures for user authentication with increased levels of security. Utilized Java Swings for front end GUI and a backend MySQL database. Combined the existing cued click point algorithm with the persuasive feature to influence user choice. The application can be integrated with the Gmail App , or any other application.
Upasna22/Scraper
Used Beautiful Soup and Request to scrape data from a website and export as excel file.
Upasna22/Music-Player-App
Android Marshmallow App that creates a Music Player Service . Service runs in the background . Supports functionality like play,pause,stop,resume etc.
Upasna22/Tic-Tac-Toe-App
Android Marshmallow App that generates a highly intelligent Tic-Tac-Toe game. Its A CPU vs CPU game and chooses the winner of each game. Implemented the concept of threads with handlers( two worker threads communication with UI Thread).
Upasna22/Dynamic-Web-Scraping
This python script lets you dynamically scrape a website to extract data.
Upasna22/Explore-Chicago-App
Android Marshmallow App that lets you explore Chicago Hotels and Restaurants . The application uses Fragments and Broadcast receivers. Handles Configuration Changes . Fun App that lets you decide where to eat / stay.