CSE 2023 Fall Departmental Demo Day

We’re thrilled to invite you to the tenth bi-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 and 2nd Floor Atrium

  When:

Monday December 11th, 2023

Schedule

2:00 PM - Event opens
2:05 PM - Opening remarks
2:10 PM - Judging starts
4:00 PM - Judges will get together to review results and pick winners
4:30 PM - Winners announced and videos played for the winning teams
5:00 PM - Event closes

Winners

Acknowledgements

Sponsors

Judges

Presented Projects

This year’s participating classes and projects include:

(CSE 611: Master's Capstone Project)

ACV Auctions
  • Harshitha Reddy Jaggavarapu
  • Shiva Karthik Reddy Bathula
  • Yashwanth Krishna Porandla
  • Sufianuddin Mohammed
Cutting-edge mobile application.Say goodbye to the hassle of manual car appraisals—our app takes the guesswork out of determining your car's worth by utilizing live car video recording. Whether you're looking to sell, trade, or simply curious about your car's current value, our app is your go-to companion.
Carbon Tracker Data wrangling
  • Akhila Golla
  • Venkata Subrahmanyam Upputuri
  • Vishnu Sai Teja Kondamudi
Updating the old databases with the latest census information using the API calls. Also, There is a My PM2.5 webpage that shows the particulate emissions due to transportation, heating and electricity which causes health impacts. So, this project gives a perspective on carbon emissions and particulate emissions.
Exhibit QR Code
  • Sai Janhavi Tamatam
  • Sri Venkat Guntur
  • Bhanu Teja Ghosikonda
  • Madhavi Kolasani
Introducing our cutting-edge "Exhibit QR Code" Management System, a powerful and intuitive solution designed to streamline the organization and accessibility of exhibit data. This comprehensive web-based interface empowers users to effortlessly manage, update, and showcase a diverse range of exhibits, each assigned a unique QR code for instant access.
Fresumes
  • Atish Sinha
  • Priyadharshan Manohar
  • Priyal Shrimali
  • Rudram Bhimpure
  • Swarangi Tingne
Fresumes: Revolutionizing recruitment and job hunting! Explore our free resume website offering a robust resume builder and parser for candidates to create compelling profiles. For recruiters, our platform facilitates seamless candidate searches, mass emails, and messaging—making Fresumes the ultimate hub for efficient hiring and standout career building. Streamline your hiring process with Fresumes, where talent meets opportunity seamlessly.
Health 360
  • Shalmalee Shenolikar
  • Viswanath Matukumalli
  • Hariharan Seelam
Unveiling a revolutionary platform catered to the global medical community, our innovative website is a comprehensive hub designed for medical professionals, researchers, and practitioners engaged in clinical trials. Users can seamlessly create and manage trials, personalize them with distinctive names and detailed descriptions, and integrate custom questionnaires effortlessly. The platform's versatility extends to the creation of user groups within trials, facilitating targeted engagement through tailored notifications. Practitioners can efficiently notify specific user groups for questionnaire completion, fostering a collaborative and engaged research environment. The system's efficiency shines through in its user-friendly tabular format for response analysis, with the added convenience of downloading responses in Excel format for in-depth studies. Complementing this, our user-friendly mobile app ensures accessibility for all, allowing easy sign-up, log-in, and participation in trials curated by researchers. This intuitive interface promises a holistic and engaging experience for both researchers and participants, marking a significant advancement in the landscape of clinical research.
Invoicing system with Jira Integration
  • Sai Prasanth Kethavarapu
  • Sai Pavan Kumar Yadlapalli
  • Lakshmi Naga Khyathi Chittineni
  • Sai Sridhar Reddy Palli
This project introduces an efficient invoicing system integrated with Jira, aimed at streamlining billing processes for digital service businesses. Key features include real-time synchronization with Jira to track service tickets, automated invoice generation, and a user-friendly interface. The system enhances workflow efficiency, ensures billing accuracy, and includes an inventory management module. Developed using React, Node.js, MySQL, and hosted on AWS, it offers a reliable, scalable solution for improved client satisfaction and operational effectiveness. Future updates may incorporate AI for advanced inventory management.
Offset CRBN
  • Surya Sai Kumar Narayana
  • Sai Teja Mandala
  • Sahil Gharat
  • Vamsi Krishna Karanam
  • Ruchitha Kurra
Offset CRBN is a comprehensive web platform designed for environmental awareness, allowing users to easily calculate and manage their carbon footprint. The user-friendly carbon calculator, customizable questionnaire, and administrative dashboard empower users to make informed decisions. Admins have control over questions, prices, and formulas, ensuring accuracy and adaptability. The platform also features robust customer support, emission data visualization, and aims to contribute to a more sustainable future by raising awareness and encouraging eco-friendly choices.
Online Dictionary
  • Ankita Sharma
  • Sagar Gopalasetti
  • Blessy Boby
  • Rushikesh Nikam
  • Sai Rohit Singampalli
Online Dictionary is an web application designed for word lookup, including definitions, etymology, synonyms, antonyms, and pronunciations. The primary aim of this product is to assist various user groups, including students, academicians, and professionals, by offering free access to dictionary services. This initiative benefits educational institutions by providing ad-free and spam-free access to dictionary. Our team is committed to enhancing the current system by introducing features such as user login for personalized experiences, word categorization, lookup history, favorites, and language-based suggestions.
Online Event Scheduler
  • Divyajyothi Hiremath
  • Prapti Miglani
  • Prakhar Bhatnagar
  • Sowmya Iyer
  • Esha Pabari
The Online Event Scheduler is a web-based application designed to assist individuals in efficiently scheduling, verifying availability, and organizing both individual and group meetings for University at Buffalo (UB) students and faculty members. This platform eliminates the need for manual availability checks and streamlines the process of identifying a suitable common meeting time. The application prioritizes security measures and offers a user-friendly interface, ultimately saving users valuable time.
Photo Editor
  • Ayesha Humaera
  • Taraka Rohit Adusumilli
  • Pavana Lakshmi Venugopal
  • Saad Ahmed
The Photo Editor Web Application is a versatile and user-friendly tool designed for enhancing and manipulating digital images. Offering a comprehensive set of features, this web application bridges the gap between basic photo editing tools and advanced image editing software. The project targets a diverse audience, including individuals, hobbyists, amateur photographers, professionals, students, and businesses of all sizes. Key Features: Advanced Passport Creation: A unique feature allows users to enable/disable the 'apply white background' offering the choice between using high-end tools or minimalistic features when generating passport images. Offers a wide range of country selection and cropping based on the specific country requirements. Editing Tools: Users can enjoy a variety of tools such as cropping, resizing, noise removal, collage creation, mosaic application, and brightness/contrast adjustment. Image Format Support: The application supports various image formats, including JPEG and PNG, ensuring compatibility with commonly used file types. Compression Features: Users can compress both images and videos, optimizing file sizes for efficient storage and sharing. User-Friendly Interface: The software boasts a clean and intuitive interface, providing a seamless experience for users to navigate and apply editing tools with ease. Output Options: Users have the flexibility to save edited images in different file formats.
Sports Perfornance Pro
  • Diptangshu De
  • Darryl Vas Prabhu
  • Akash Yadav
  • Tanishka Sharma
Ultimate toolkit for elevating athletic excellence! Unleash the full potential of your team with the cutting-edge application designed for coaches and athletes. Effortlessly create, manage, and track customized workout plans, while seamlessly monitoring and optimizing athlete performances. Elevate your training game, maximize results, and conquer the competition with Sports Performance Pro – where precision meets peak performance.
Team TukTuk
  • Akshay Ajith
  • Balaji hariharan
  • Karthik Ramanan
  • Nithyashree Govindarajan
  • Ajay Reddy Timmareddy
TukTuk is a ridesharing application developed by a team in Austin, TX. The team at Buffalo is working with the Austin team to develop a revamped application suitable for Buffalo. The application is meant to provide an easier and safer mode of transportation for UB students to travel from one hotspot to another within or outside the campus. The app is also meant to act as a source of revenue for UB students by offering rides to other students while travelling around Buffalo. The application is being developed ni React Native, Node js and AWS services for deployment and storage.
Web Tool for Words and Phonemes
  • Ram Kashyap
  • Haritha Kunta
  • Pratiksha Shirsath
  • Jeyendra Srinivas Datta Kanaparthi
  • Kriti Chapagain
The project aims to create a word database with metadata and phoneme information, offering an API for querying this database and a user-friendly web interface. It will include features such as scoring words based on popularity, complexity, readability, and sound, storing metadata like categories and semantics. displaying words based on specific phonetic queries, and presenting statistics on phonemes. The tool is used to assist speech-language pathologists and can be used to help children with pronunciation problems, teachers for educational purposes, and general users looking to query and explore word-related data
Youro
  • Vamshi Jamalpur
  • Sai Nath Hyderabad
  • Abhigna Sree Tumati
  • Ravindra Mandava
  • Sri Sai Charan Kachavarapu
Youro is your comprehensive solution for optimal urologic health, offering innovative features to simplify and elevate your healthcare experience. Track your symptoms with our exclusive calculators, ensuring personalized care and treatment. Schedule same- or next-day appointments with urology-trained providers, fostering continuous communication through our app. Access up-to-date educational materials related to your diagnosis, empowering you with knowledge. Benefit from individualized care plans designed for your specific needs, guiding you towards improved symptoms. With Youro's digital-first approach and 24/7 availability of urology-trained providers, achieving peak urologic health is simple, enjoyable, and tailored to you.
CMS Mavens
  • Kashyap Soni
  • Dhaval Patel
  • Atharva Kulkarni
  • Shubham Kulkarni
  • Divya Muralidharan
Website, CMS system, admin portal and member portal for the AI for Exceptional Education organization headed by UB
museum Interactive exprience
The objective of this project is to develop an application for museum patrons to participate in a scavenger hunt application. The patrons would be given a challenging set of scavenger hunt questions, they would have to find the exhibit that satisfies the answer to the question and scan a near field communications (NFC) chip with their smartphone to get credit for answering the question. The application would time the execution of the scavenger hunt and patrons will see their ranking at the end of the scavenger hunt. A companion objective is to develop an administrative application to load and maintain the scavenger hunt information, narrative, photos, etc. for consumption by the patron application. The senior design class will be responsible for defining the project requirements, creating a comprehensive plan, and overseeing its development and deployment

(CSE 302)

Android And Java Malware Detection
  • Varen Mehta
  • Nawar Khouri
  • Ria Gupta
  • Vrushaali Nagaraj
This project aims to create a toolchain based around a compiler and machine learning classifier to identify Android and Java malware. Students will work on modifying an existing compiler (Soot) to analyze Java and Android programs. The project will involved writing static and dynamic analyses to identify features that can be used by a classifier to make a determination if a given program is malicious or not. The project will begin with students learning about and writing their own intra-procedural information flow analysis. Students will then extend their intra-procedural information flow analysis to be a whole program inter-procedural information flow analysis. This analysis will identify the portion of the computation that deals with sensitive and personal data. Students will then write an analysis over this portion of the code to extract features to be used for classification. The analyses can be extended to handle more complex Java and Android features like reflection and Android IPC mechanisms. There is also room for exploring different machine learning technologies based on performance and accuracy measures.
Manufacturing metaverse
  • Xuhelin Cabrera
  • Evan Jiang
  • aryaman ghosh
  • Jackey Wang
We've created a 3D manufacturing metaverse housing an autonomous robotic arm equipped with the ability to detect plastic from a pile of different materials. Leveraging Unity and Blender, we've brought this innovative concept to life. Our 3D manufacturing environment serves as a valuable testing ground for manufacturers, allowing them to experiment and refine their processes with the help of our autonomous robotic technology.
Teamwork Tool
  • Arianna Escobar
  • Justin Variara
  • Korey Liu
  • Ardian Muriqi
  • Ahmed Alabadi
Our platform empowers instructors with an intuitive UI/UX, facilitating seamless course, survey, and rubric management.
Vizier
  • Cameron Toy
  • Jason Mai
  • Shreya Gupta
Vizier is an advanced, reproducibility-focused notebook environment that supports multiple languages like Scala, Python, and SQL. It uniquely features a spreadsheet mode for direct dataframe editing, templated commands for streamlined data tasks, and an automatic cell update mechanism to maintain data freshness. Additionally, Vizier offers comprehensive history tracking for revisiting or branching analyses and includes a Dataset Stabilizer to monitor and alert about significant data changes, making it a highly adaptable and user-friendly tool for complex data workflows. The Vizier team is rebuilding their computational notebook Vizier, and wants to take this opportunity to develop a simpler, but more powerful data visualization component. At a really high level, this component takes in a dataset and spits out a chart based on a set of user-provided instructions. This semester, the Vizier team worked to redesign the UI/UX of the editor to allow an easier user experience with the same performance as the previous editor. We introduced a Bar Chart Command where you can see/use our editor. In our editor, we have introduced easier way to add elements, choose filters, change styling, etc.

(CSE 410: Game Design)

Blood of Ring
  • Yanbin Li
  • Jiawei Wu
  • Yutian Luo
  • Hongjie Lin
Third person action Game
Bounce Tower
  • Josh Friedland
  • Donovan Blount
  • Sam France
An arcade platformer game made with Unreal Engine 5
Echoes of the Fog: A Skinwalker's Curse
  • Christopher Garcia
  • Ardian Muriqi
A horror game made with Unreal Engine 5. This game showcases mechanics made with Unreal Engine's Blueprint system, and assets from the Unreal Engine market store. The goal of this game is to collect pages around the map and make it back to the original spawn point to click the red button and win the game.
Eyes Wide Open
  • Michael McNamara
  • D'Ondre Taylor
  • Alex Hulin
  • Gillian Okaiteye
  • Sam Kayutkin
A horror-themed video game where the player must collect their stopwatches to escape statue like creatures that are hunting you. (Game description/tag in other details)
Frogger's Lane Lunacy
  • Brae Curran
  • Bailey Curran
  • Alexis Hubbard
  • Christopher Deck
Frog Driving Simulator
In Vacuum
  • Ian Hunter
  • Amelia Graca
  • Ronan Kasmier
In Vacuum is a game based on 2001: A Space Odyssey
Into Despair
  • Jay Cheung
  • Brian Leavell
  • David Chen
  • Alexis Casul
  • Rony Tsirkel
Into Despair is a first person horror game where you wake up after a night with your friends to find them gone. Venture into the forest and find out its secrets.
Restaurant'botage
  • Matt Gawron
  • Rachel Li
  • Josh Quinn
  • Tyler Krempa
Restaurant'botage is an FPS-style cooking simulator 3D game. You work at a diner that has customers barging in, demanding food. It is your job to serve them as fast and as accurately as possible before they take over!
Salvation Sky
  • Sovinder Singh
  • Zach Chen
  • Alex Feng
  • Milos Petrovic
  • Harry Lin
A survival video game, taking place among the sky. Traverse and survive on Sky Islands and repair your ship to make your way home.
Stellar Odyssey
  • Gianni Cottone
  • Ben Dykes
  • Michael Laufer
  • Rafi Khan
Stellar Odyssey is a physics based puzzle game akin to the Portal or Half-Life family of games. You must solve puzzles across many levels to escape an abandoned space station, using three different abilities: anti-gravity, stasis, and rewinding.
Student Simulator
  • Ze Chen
  • Andy Dong
  • Jieli Li
  • Duncen Zheng
  • Valerie Wong
Student Simulator is a third person stroy game that follows the story of Mark, a fourth year transfer student to a university. The game involves the main objective of graduating on time and avoiding choices that lead to him dropping out. He is your typical, average computer science major student but throughout the game, he wil be involved in situations like choosing who becomes friends with, choosing the right words to say, amongst other situations that enable players to experience a game that develops depending on the decisions that are made.
Terminal 497
  • Nadia Pelaez
  • Daren Ni
  • Austin Walsh
A horror space videogame where you must escape the alien infested space station.
Tower DeFense
  • Xin Yu Chen
  • Tianming Lu
  • Ping Ge
A game that combines tower defense and first-person shooter. Players are armed with both construction blueprints and an arsenal of weapons. As monsters assail your shelter, players will decide how they protecting their shelter: will they bolster their defenses by erecting towers, or take a direct approach, confronting invaders face-to-face.
Undead Purge
  • Qiaoying Chen
  • Jun Lin
  • Yao Lin
  • Ziming Yang
Tower defense game
UpUpReunited
  • Shawn Abraham
  • Owen Jin
  • Annusha Pervez
  • Jessica Wong
Help a steam like ghost in a cup named Ghup, make his way out a childs bedroom to freedom. Navigate him through a platformer with obstacles to the goal.

(CSE 442: Software Engineering)

BlueBrilliant
  • Alexander Sherman
  • Johnny Lok
  • Liam Richards
  • Julius Merlino
  • Raushan Singh
A Chess engine website built in javascript
Cat Crowd
  • Cody Reynolds
  • Dominic Pennacchio
  • Amit Tzadok
  • Gillian
  • Justin Kohn
This project is a simulation app in which users can play minigames and customize their own cat cafe.
Chronline
  • Mokshita Gupta
  • William Bizier
  • Tina Costanza
  • Samuel Kayutkin
  • Holliday Sims
Chronline is a media logging app which integrates tracking across books, games, and movies. The main purpose of our app is to use these patterns to calculate your chronically online score, and to improve the quality of your life by reminding you when it’s time to go outside or socialize. You can also post, like and comment on other people or your friends’ reviews to find like-minded individuals and get better at expressing yourself. We take your security seriously, and have features such as blocking and making your account private to control the visibility of your information. There’s something in Chronline for everyone!
Grouped / Len[cs]
  • Neil Bae
  • Lorraine Gao
  • Sovinder Singh
A collaborative planner for your everyday life making scheduling and communication seamless.
Helping Hands
Helping Hands is a web application designed to revolutionize the volunteering landscape. It serves as a bridge between volunteers seeking meaningful opportunities and organizations requiring assistance. This platform uniquely caters to the needs of busy individuals like students and professionals, as well as non-profit organizations striving for effective volunteer management.
Hungry All The Time
  • Caisi Li
  • Jiahang Yang
  • Jintao Liu
  • Siqi Cheng
  • Zhiyuan Liu
The system enables customers to place food orders, maintain their personal accounts, complete checkouts, utilize credit and promotional codes, and provide reviews and ratings for their orders. It also provides merchants with the ability to update their products, access order statistics, and review customer feedback. Additionally, administrators have the capability to manage user accounts, order data, and review information.
Shrubbery Quest by Nefariouz Gamez
  • Jordan McEntee
  • Joshua Quinn
  • Jake Acocella
  • Blake Dase
  • Alexis Hubbard
Shrubbery Quest is a 2D skill-based platformer game where you fight your way through 20 unique and challenging levels to reach the golden shears -- chopping down shrubs and (successfully or unsuccessfully) avoiding untimely deaths along the way.
Nutrient Fanclub
  • Hao Zhu
  • Ryan Khan
  • Haoyang Shi
  • Haobo Wang
  • Ruifeng Zhang
Our project is a web application that allows students going to UB to leave reviews for restaurants around or in the campus area.
Gig App/ Fugue State
  • Brecken McGeough
  • Jeremy Sprague
  • Conrad Bremer
  • Eric Hong
  • Connor Lehr
Our app allows the user to create their own account so they can create music from scratch, practice instruments and songs and look up songs.

(Research Under Dr. Ratha)

Chat-based Secure Disease classification based on symptoms using FHE and Reinforcement Learning
  • Aditya Malik
In this work, we develop a secure potential disease classification based on the symptoms provided by the user. We developed a customized fully connected layer and utilized a ReLU approximation activation function that could operate on CKKS-encrypted data.

(CSE 587)

Crimson Eye: A Data-driven Approach to Crime Analysis
  • Charvi Kusuma
  • Tarun Reddi
Crime is a complex issue that affects every part of the globe and poses a major threat to community safety and well-being. It is essential to understand and tackle crime in a way that safeguards people and nurtures a sense of peace in our society. In the midst of all the challenges the police forces grapple with, our project can act as a guiding tool to deploy resources more effectively and prevent crime. In other words, predictive policing is a method that makes use of past social, demographic, and economic crime data to spot trends and estimate where and when a crime is most likely to occur. Insights from our application, serve as the foundation for creating effective strategies to prevent and intervene in criminal activities. We provide a data-driven method of analyzing crime that can be proactively used to reduce the crime rate and foster a safe community.
Global Climate Change Analysis of the Major Cities over the Years
  • Radhika Singh
  • Ritika Rekhi
Our project focuses on to present the change in the climate over the years in the major cities of world. This change is majorly determined by the global temperature over the years.
Mental Health Challenges in the Corporate World
  • Sahithi
  • sai
  • mahitha
Our project involves utilizing a dataset comprising surveys from individuals experiencing mental health issues. The primary objective is to investigate whether individuals, despite receiving resources from their respective companies, undergo treatment and successfully recover from their mental health challenges.
Radix Nexus
  • Ali M. Mohammadi
  • Professor Shamsad Parvin
Hybrid AI-Driven Framework: Optimizing Initial User Engagement in Recommender Systems
US Accident Prediction
  • Dominic Parosh Yamarthi
  • Haripriya Raman
Road accidents pose a significant threat to public safety, and understanding the underlying patterns and factors is crucial for effective prevention and mitigation strategies. This project aims to analyze a countrywide traffic accident dataset covering 49 states in the United States, comprising data from diverse sources such as transportation departments, law enforcement, and traffic sensors. The primary objective is to uncover insights into the causes, frequency, and impact of accidents, ultimately contributing to the development of informed policies and interventions for enhancing road safety.

(Research Project under Prof. Nalini)

FingerCraft
  • Tejas Prakash Agrawal
Realistic Fingerprint Generation

(Research )

Leveraging FHE for Enhancing Soft-Biometric Privacy
  • Arjun Ramesh Kaushik
Face recognition, a cornerstone of early deep learning methodologies, has become a pivotal technology in AI systems, raising concerns regarding privacy and security in widespread applications. Face embeddings, though essential for identity verification, have been shown to be susceptible to leaks, enabling unauthorized access and unintended information extraction. This research investigates existing template protection techniques and their effectiveness in preventing biometric information leaks. Our findings reveal vulnerabilities in many existing techniques, emphasizing the need for enhanced privacy safeguards. To address this, we propose a novel dual-layer protection method for face embeddings, combining established protection schemes with an additional encryption layer to fortify privacy. The use of Fully Homomorphic Encryption (FHE) enables secure analytics on encrypted templates. Our approach successfully circumvents the shortcomings of individual protection techniques, providing an elevated level of privacy and security. We demonstrate the effectiveness of our method through face verification, age, gender and ethnicity prediction tasks, achieving comparable performance to unprotected templates. Leveraging FHE alongside conventional protection methods ensures irreversibility and unlinkability, preserving accuracy while eliminating the risk of biometric information leaks. The project presents comprehensive results supporting the efficacy of our proposed approach in advancing the privacy and security landscape of face recognition systems.

(CSE302)

PWNIoT
  • Matt Kreuzer
  • Doniyor Ismatilloev
  • Wei Chen
We helped prepare the launch of Dr. Ziming Zhao's cybersecurity education platform PWNIoT.
ML model recommendation and benchmark systems
  • Yuanjie Xu
  • Harvey Kwong
The purpose of this project is to be able to integrate Machine Learning models onto the MLModelScope platform; A hardware/software agnostic allowing novice users to run and benchmark Machine Learning models. For our demo, we are featuring the testing and running of two models.

(Research Project Under Prof. Nalini Ratha.)

Secure Sleep Apnea Detection using FHE
  • Bharat Yalavarthi
  • Arjun Kaushik
  • Tilak Sharma
  • and Prof. Nalini Ratha
We work on a privacy preserving sleep apnea detection method from ECG signals using Fully Homomorphic Encryption (FHE) and Deep Learning. FHE enables deep learning analysis on encrypted ECG signals thereby guaranteeing security and privacy.

(CSE 666)

Secure Vascular Biometric Recognition
  • Chris Humphry
  • Sunil Rufus Ramneedee Pushparaj
In this paper, we propose an end-to-end vascular feature recognition system built with the security and privacy of the template in mind. Our solution uses Resnet50 architecture coupled with biohashing to securely store and manage the biometric data of individuals. The system makes use of the images captured using a near-infrared light scanner. This image is processed to generate a biohash, a unique digital representation of the user’s vein pattern. The system also employs a matching algorithm that compares the user’s biohash with the stored biohash to verify the user’s identity. The core model achieved an accuracy of 95.58% compared to the state-of-the-art accuracy of 97.66%. However, our proposed solution achieves an EER rate of 0 after biohashing whereas the state-of-the-art model has an EER rate of 2.03, indicating 100% efficiency of biohashing.
A Two Stage Hybrid Methodology For Forgery Detection And Palmprint Authentication
A system for forgery detection and palmprint authentication

(Independent Study/ Project)

Contactless Fingerprint Application
  • Suryaveer Singh
  • Bhavin Jawade
A contactless fingerprint capture application with enrollment and verification.

(Research)

Fully Homomorphic Encryption Operators for Score and Decision Fusion in Biometric Identification
This research introduces an approach to overcoming the limitations of unimodal biometric systems through the development of a secure multimodal biometric system. The core of this system lies in its encrypted score/decision-level fusion, which integrates various biometric traits such as face, fingerprint, and iris. Utilizing the power of non-interactive homomorphic encryption, this system significantly enhances the accuracy, security, and privacy aspects, making it particularly suitable for cloud-based biometric services.

(EAS 561 TUT Robotics Project)

Playing Rubik's Race Using a Robot
Create an algorithm to solve the rubiks race puzzle, implement it on DOFBOT and control it by ROS.

Past Demo Days

Fall 2016 Fall 2017 Fall 2018 Fall 2019 Spring 2019 Fall 2020 Fall 2021 Spring 2021 Fall 2022 Spring 2022 Fall 2023 Spring 2023 Spring 2024