CSE Fall Departmental Demo Day

We’re thrilled to invite you to the fourth annual Comp. Sci. & Eng. Fall Demo Day. Student groups from several CSE capstone classes will be presenting the culmination of 3-months of effort, hard work, (metaphorical) blood, sweat (well… caffeine really), and tears (see above).

Where:

Davis Hall, 1st Floor Atrium

When:

Friday Dec. 7; 12 Noon - 3 PM

Schedule

11:00 - Judges and Presenters arrive

11:30 - Pre-event mingling opportunity for Judges and Presenters

12:00 - Event opens to the public; Lunch is served; Judging starts

2:00 - Judging ends

3:00 - Awards presented

Acknowledgements

Thanks to everyone (Participants, Sponsors and Guests) for a hugely successful demo day! Check out the photos Courtesy of Ken Smith.

Awards

Entrepreneurs Award

UB Carpool

Teja Maddipatla, Ajaysai Potluri

Student's Choice

Caching for AR

Alexander Beloglazov, Sandeep Kumar, Venkata Krishnan Anantha Raman, Vikram Singh

First Place

Trading Algorithms

Kaushik Panneerselvam Veerappan Saravanan

Second Place

Word By Word

Christian Coffey, Daniel Goings, Daniel Sarlo, Doug Achkar

Third Place

HD Map Creation for Academia

Arun Krishnamurthy, Srivatsa Manjunath Hegde

Presented Projects

This year’s participating classes and projects include:

Software Engineering (CSE 442)

Word by Word

Christian Coffey
Daniel Goings
Daniel Sarlo
Doug Achkar

Word by Word is our speed reading app that is designed to help people increase the rate at which they can read text and documents. Text can be input by the user manually or through image-to-text recognition.

QR Attendance

Raman Krishan
Mohammad Hafeez
Andrew Ketcham
David Richwalder
RajeevGundavarapu

Take student attendance with randomly generated QR code by prof/student sign information and attendance is stored in back end fire base data server

DopAt - Classroom attendance and quiz website

Mark Armstrong
Eithne Amos
Abass Ibrahim
Connor Reynolds
Chris Saless

The next 🦄

Masters Project Development (CSE 611)

UB UNIFIER

Vijaya Harshavardhan Palla
Kalyani Sunil Chikte

A web application that brings all UB related events, club information under one hood keeping UB students up to date. It includes an extension that allows UB students to add events found online to their calendar.

Social Media Broadcasting

Vikram Singh
Mahalakshmi Maddu

199 Admin Site

Charanya Sudharsanan
Christopher Chan

Home Buyers and Sellers

Komlan Aziagba

Buffalo Museum - Tours

Parush Garg
Mariyah Husain
Anjali Sujatha Nair

Buffalo Museum Tour App allows the museum visitors to take self guided tours from a variety of tour options available. The application provides navigation on the museum's map and information on various exhibits. It also provides an option to turn the tour into a quest and earn points for it. The application is targeted to all age groups with a friendly UI.

Museum Events App

Sajid Khan
Vinay Vardhaman

This app targets the general public of Buffalo to send information about different events happening at Buffalo Museum. The app sends push notifications to the mobile users about the latest and upcoming events. Users can also look for more information and purchase tickets for the events inside the app. Basically it is a platform for the Museum Staff to reach out to public in a subtle and convenient way. This app is developed with Native Android platform. So it is only available on Google Play store. Cheers :D

Gamify - Buffalo Museum of Science

Pratibha Arjun Barsale Contact
Priyanka Manoj Naik

Gamify is a framework to allow users to sign up to earn "badges/points" for playing games. The framework has two games namely Quiz and Scavenger Hunt. These earned "badges/points" can be seen by others in the website that would allow users to compete with each other, and perhaps have a leader board to show who has the most "badges/points". This will encourage youth visitors to explore new areas of the museum to amass "badges/points".

Happiness Experiment

Sourabh Bhagat
Pradeep Aitha

Happiness is the scoreboard for life. Happiness now, happiness at the end of the day, happiness with life. There is no other word in the English language that is as rich, deep, meaningful in regard to how we view our lives than happiness. To be happy our life needs to “feel right.” Our life needs to be close to in balance physically, mentally, emotionally and spiritually. We are the experts of our own happiness. You control your happiness. You can build a happiness routine that sets you up for success in life and “A life well lived.” Leading research has determined that 50% of our happiness is genetic, 10% circumstantial and 40% is “our intentional activity.” In other words our beliefs, mindset and routines. We hope that this program will inspire and help you take ownership and action to enable your happiness. Rather than read hundreds of self-help books and listen to podcast after podcast we have boiled the advice down to a simple (minutes a day) program that you can start, today. Right Now. World happiness, healthiness and greater good starts with the individual – yes, you!!! Once you have built your personal happiness then you can start sharing it with others creating a virtual cycle of happiness. The happiness experiment is a program that has been designed to bring more happiness to your life through playful experimentation. We are going to load up your day with happiness. Help you build a happiness routine. Inspire you to push your happiness boundaries.

UB CarPool

Ajaysai Potluri
Teja Mvsr

Ub CarPool is a simple web app which connect two or people going to same destination for sharing their ride. Users can post, search and confirm rides using this app.

Trading Algorithm: Looking for Predictive Value in Twitter Data

Kaushik Panneerselvam
Veerappan Saravanan

The goal of this project is to predict the likely tendency for SPY ETF, using the previous day’s Twitter data. This project aims at implementing a prototype which could be used to predict the trend of SPY ETF using tweets which could be used to design profitable trading algorithms."

Secured Publish-Subscribe System

Nagendra Satish Kamath
Parikshit Sunil Deshmukh

A system level implementation like MQTT for a secured Publish-Subscribe system and deploying it on cloud, making use of multiple instances.

Anomaly Detection using Deep Learning

Vikrant

The project involves understanding the LSTM deep log learning method. Then we have to implement the deep learning model using Python, Keras/Tensorflow, Pytorch etc ML frameworks. The project requirements include server infrastructure hosted in UB.
The project envisages:

Develop a solution to apply DeepLog to our system log data (from Lonestar supercomputer)
Implement the solution and report results to identify performance anomalies from system log data

Human Action Detection and Recognition

Roshni Murali
Aayush Kumar

The next 🦄

Motion flow/depth estimation using synthetic video data

Sili Liu

Local IOT Cloud

Kshitij Goel
Moni Kumari

The next 🦄

Object detection and pose estimation in temporal point clouds

Bhavik Gala
Charushi Nandwani

The project addresses the problem of real-time object detection in point clouds (LIDAR sensor data) in the context of autonomous driving. We have implemented an end to end object detector which detects the location and heading of the other cars with respect to self, this is crucial for the safety of the passengers, vehicle, and other vehicles on the street. The model can be easily adapted to detect pedestrians, cyclist, and other vehicular types given a dataset. The project is based on PIXOR detector and works at the speed > 10 frames per second.

Distracted Driver Detection Service

Shivam Upadhyay
Zeba Khan

This is a service that is designed to detect distracted driving. It is capable of accepting images as input, process it, and send back a response indicating whether the driver is distracted or not. The dataset for the model was obtained from Kaggle.

Consensus Algo

Raman Keswani

AI based Health Assistant

Anant Gupta

Scheduling Framework

Aditya Subramanian Muralidaran
Bharadwaj Parthasarathy

This product is aimed at developing a scheduling framework. The stakeholders are the professors who would like to schedule the TA’s recitation class timings for their courses. The primary focus is to implement a framework as a web application with the goal of scheduling the timings of TA’s recitation classes. With this product, the rules and constraints can be configured into the system and an interactive user interface will simplify the process of manual scheduling by dynamically guiding the user to set up the schedule without any conflicts. This product has been chosen to solve the long-standing problem of identifying and resolving the conflicts during manual scheduling."

Credible Fandom

Aamel Unia

A new social network for sports fans where they can not only interact with one another, but also place predictions for sporting events to show off their knowledge of sports and develop their credibility score.

Choreographic Lineage

Shailesh Adhikari
Shivam Sahu

The next 🦄

Web of trust with social graph

Sneha Mehta
Varun Jain

The project aims to try to find the ‘best’ strategy to find possible answers for Universal fact based boolean questions based on user responses in a trust weighted directed graph.
The accuracy of the responses compared to the actual answer under different topologies of user responses will be used to define ‘best’ metric.

TamedPy - Sandboxed Python Execution

Karan Luthra

A framework to run untrusted python workloads on modern infrastructure, in a safe sandboxed way. From interactive notebooks for Data Science to code execution for programming contests or hiring, run someone else's python code on your infrastructure without risking harm to your host environment.

Decentralized IoT

Paritosh Mandar Walvekar
Aditya Kohli

An orchestration manager for a decentralized IoT application. Instead of IoT devices relying on cloud for control and actions, they should be able to communicate with each other and decide on a possible actions given a set of inputs/events.

Advanced Computer Systems (CSE 622)

ORB-SLAM

Ankesh Bhoi
Swati Nair
Rohan Pathak

Split the vision pipeline between the edge device (mobile phone) and the cloud and comparing the performance of the split system with the current one running completely on edge device

Gesture Recognition on Secure World

Chang Min Park
Derek Palmerton
Richard Hanulewicz

Using TrustZone enabled board, we demonstrate a strongly secured gesture recognition that cannot be forgeable.

Caching Service for AR Applications

Alexander Beloglazov
Sandeep Kumar
Venkata Krishnan Anantha Raman
Vikram Singh

Build a caching service that delivers a better user experience by pre-fetching the Map portions, the service thinking of a very thin client which doesnt require more compute which has connectivity to a server. Localization and Caching will be done on the thin client by exploiting the resources on the server.

Software Verification