CSE 2024 Spring Departmental Demo Day
We're thrilled
to invite you to the thirteenth 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: Tuesday, May 7th, 2024
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
Setup
Setup will start at Noon. Tables will be available for both sponsors (each sponsor will get a table) and demo participants (2 to a table). Easels will be available for participants. If you need power, please let us know! If you have any other special requests, please contact ahunt@buffalo.edu to let me know, and we will do our best to accomodate you. There are two hours reserved for setup - you can come at any time during that period to get organized, but please make sure you leave yourself enough time to be ready to go by 2PM, to give you the chance to network.
Networking
Before we open the atrium to students and the public, we’ll have some time reserved for the participants to come and chat with the sponsors and the judges. Pizza will be there as well (A big thank you to our sponsors!), so that the participants and sponsors can have a chance to eat before demos begin!
Judging
During the demo, judges will circulate to the participants demo stations, and they will be rating each project on a specific set of criteria. Judges, expect to spend approximately five minutes with each team, in order to give you time to see them all. You will be assigned a set of projects to view specifically, but you can feel free to talk to more teams as time permits! Teams, keep this in mind and keep your presentations crisp and to the point!
Prizes
There will be prizes for the top teams selected by the judges. They will be announced in the atrium, and there will be a quick photo op for each winner. Good luck to everyone, and I can’t wait to see you all there!
Winners
To Be Determined... on May 7th!Acknowledgements
Sponsors
Judges
- Chris Miller
- Anarghya Das
- Amir Nassereldine
- Ethan Blanton
- Jim Brandt
- Haonan Lu
- Kyle Daving
- Karlene Kardysauskas
- John Tantillo
- Sonny Sonnenstein
- Neel Tripathi
- Hannah Wilcox
Presented Projects
(CSE 700)
- Crime Dynamics Mapping: Textual, Spatial and Temporal Perspectives
-
This research employs advanced machine learning and neural network models to analyze crime types, predict hotspots, and uncover latent topics within Los Angeles crime data. By integrating spatial, temporal, and textual analysis, it offers valuable insights for law enforcement on crime patterns and prevention strategies.
- "Code-Free Data Science Pipeline: Tailored Machine Learning Models with Automated Data Preprocessing Platform"
-
"Experience the 'Code-Free Data Science Pipeline,' a user-friendly platform tailored for beginners and seasoned professionals alike. Simplifying machine learning model creation and data preprocessing, our intuitive interface guides users through every step. With automated data cleansing and transformation, users can prepare datasets effortlessly. The platform's standout feature is its ability to generate tailored models based on user preferences and dataset characteristics. Say goodbye to manual coding and debugging—unlock valuable insights with ease. Whether you're diving into data science or streamlining your workflow, our platform empowers you to harness the power of machine learning effortlessly."
(CSE 302/303)
- EL/R - Indoor Wi-Fi based Localization and Navigation App
-
Indoor Wireless Localization (specifically Wi-Fi) has become quite widespread, there is an active Task Group 802.11bf as well to bring this into standards and there are many learning based solutions to bring localization accuracy to sub-meter level. While, this is great news for indoor automation, there are deployability concerns in terms of generalizability and privacy concerns surrounding it. While, the most popular approach is to use data based ML-models to provide sub-meter accurate localization algorithms, there are still requirements for generalization to different environments and better accuracy. We developed a web-app to get data from Wi-Fi routers for a given smartphone. The data is then to be processed online to pass through an ML-model. We also developed an android app that can allow us to navigate within the first and third floors of the Davis Hall.
- Teamwork Tool
-
The Teamwork Tool project exists for UB faculty to distribute peer evaluations among their students. Many UB courses require group work and it is important for these classes to have a peer evaluation survey to weigh individual grades properly. Many current online form platforms, like Google Forms, lack services that allow grades to be adjusted according to survey responses. Our tool will have the functionality of grade weight. This tool is also tailored to UB and will automatically collect student information, like name, UBIT name, email, which is something current online platforms lack. Our tool will also allow rubrics to be shared among other professors to reduce unnecessary form duplications. To conclude, this tool aids in the process of creating, distributing, and collecting the surveys for professors.
- Virtual Ampitheater
-
To design and develop a VR visualization of a newly discovered amphitheater by Professor Sandro for an introductory class for archeology. The program should be historically accurate as to allow students to gain a better understanding of the site by interacting and analyzing it.
- Vizier: Data Visualization Notebook
-
The Vizier team is enhancing computational notebooks with a user-friendly data visualization component that simplifies creating sophisticated charts from datasets. This initiative, distinct for its ease of use and seamless integration with Vizier’s existing features, allows for direct manual adjustments via Vega, significantly improving flexibility and usability. Vizier wants to take this opportunity to develop a simpler, but more powerful data visualization component.
- pgAQP Plugin
-
Porting a B-Tree database structure from being a postgres plugin, to being a standalone C library that can be plugged-in to any relational databse.
(CSE 442: Software Engineering)
- Backend Boys
-
Transforming Retail with Smart Self-Checkout: Revolutionizing shopping experiences through innovative, user-friendly kiosks for seamless transactions and elevated efficiency.
- The Climb
-
A centralized, accessible site for users to log their exercise and nutrition habits all in one place.
- SERVS
-
A website that blends the repository sharing capabilities of GitHub with the interconnectedness of LinkedIn.
- Diet Coke
-
An RPG based around the day-to-day experiences of a computer science major with fantastical elements intermixed.
- The Fortniters
-
The project is a fun and interactive 2D Dungeon-Style single-player game that allows the user to add computer enemies to their party to play alongside them.
- Guac and Roll
-
University at Buffalo campus navigation app. A navigation web application to help students traverse the complex web that is UB's North Campus.
- The Journalists
-
Journalist is a dynamic online journaling platform tailored for University of Buffalo students.
- InSight
-
UB professor ranking and reviewing web app
- Power Chess
-
Multi and single player Chinese chess web app
(CSE 635: Natural Language Processing )
- Elective Genie
-
This project developed a Retrieval-Augmented Generative AI to assist University at Buffalo students with academic planning. It leveraged LangChain, Pinecone, and a sentence transformer model to encode course data into semantic vectors, enabling efficient semantic search. The top retrieved results were fed into Hugging Face's Llama-2-7b LLM to generate comprehensive natural language responses.
(312)
(CSE 370: HCI)
- 200 OK
-
A social media platform for gamers all alike to post, rank, and find each other based on game that they play.
- Won One
-
Trek is a place where nature lovers will be able to gather to plan and share hiking trips.
- UI maxxing
-
Recipe Pantry is a social media application designed to assist those looking to share, receive, and search for recipes. Our app makes usability the utmost priority for the end of streamlining users towards discovering the recipes they're going to be most interested in. The flames fueling the fire behind Recipe Pantry cook in Recipe Creation and Cookbook Curation. The former allows one to title a recipe, describe the ingredients and preparation steps therein, and to accompany it with an appetizing image. Cookbooks allow for the collation of recipes into a cohesive whole - say a collection of Latin cuisine, or perhaps Asian Fusion? Recipe Pantry grants the whole world of cuisine at an instant!
(CSE 611: Master's Capstone Project)
- Look The Part
-
- Narsimha Sashank Malayanur
- Lakku Prathap Reddy
- Vamsi Kumar Naidu Pallapothula
- Hari Preetham Reddy Nandyala
- Sai Venkata Swetha Gadde
This fashion app allows enthusiasts to purchase apparel and accessories inspired by TV shows and celebrities, offering an interactive platform to buy outfits that match those seen on their favorite stars. Built with React Native, it supports both Android and iOS devices, providing a seamless and intuitive user experience. The highly responsive design enhances visual appeal and user engagement. The app features optimized state management using Redux, reducing redundant data fetching and ensuring efficient performance during complex interactions within the dynamic fashion marketplace. Combining cutting-edge technology with user-centric design, this app merges fashion with visual media for a streamlined and engaging shopping experience.
- Find a Mechanic
-
Find a Mechanic is an application that allows users to book appointments with local automotive service centers and lets them exchange messages with these garages to ensure complete transparency regarding the status of their appointments. Service Centers may sign up for a different type of account that will make them discoverable by users, and allows them to manage employees, garage information, and appointments within the app.
- CSE611 Kaleida Health
-
This project presents the redone interfaces with augmented backend support. In the new website, patients can share their medical journeys, see diagnoses and info assigned to them by doctors, etc. Doctors and admins can use their respective views to edit, assign, delete, and more on patients, specialities, medical centres.
- Youro
-
- Sailesh Reddy Sirigireddy
- Mounikananda Reddy Kanuparthi
- Abhishek Katta
- Pranay Bunari
- Santhosh Pothuganti
Youro is a healthcare web application that enables patients to consult qualified doctors for a wide range of urological issues and conditions virtually. For doctors, this application provides a comprehensive dashboard with patient information, upcoming appointments, and more. It offers patients a robust user experience, allowing them to easily book appointments, access their prescribed care plans, obtain detailed information on each prescription, and engage in quick chats with doctors. Additionally, this application empowers patients with additional tools for self-assessment and understanding of their urological health. Users can take a tailored questionnaire designed to gather relevant information about their symptoms, medical history, and lifestyle factors. This questionnaire aids in providing a quick initial diagnosis. This application also helps doctors better understand the patient's condition before the consultation by summarising the patient responses to these questionnaire. Innovatively engineered with Spring Boot and ReactJS technologies, this application seamlessly integrates state-of-the-art solutions with user-friendly design principles. Additionally, the chat functionality, built with WebSockets, ensures real-time communication, enhancing the immediacy and effectiveness of patient-doctor interactions. By harmonizing healthcare with convenience, this application delivers a fluid and engaging experience, fundamentally transforming the patient-doctor interaction landscape in urological care.
(CSE 468/568 Robotics Algorithms )
- F1tenth Racing Simulation
-
Join us for a live demonstration featuring the top performers from our final class assignment, where students have developed an end-to-end racing pipeline using the ROS Algorithm within our custom simulator. This highlights the advanced techniques and considerable effort invested by the students to create a comprehensive autonomous racing system. Witness firsthand the innovative solutions that propel these autonomous vehicles across the digital racetrack.
(CSE 700 Independent Study)
- It is Not True that Transformers are Inductive Learners
-
I show experimentally that: (i) transformer NLI models treat external negation as a distractor, and effectively ignore its presence in hypothesis sentences; (ii) several near-SoTA models fail to inductively learn the law of the excluded middle (LEM) for a single external negation prefix with respect to NLI tasks, despite extensive fine-tuning; and (iii) those models which do learn LEM for a single prefix cannot generalize this pattern to similar prefixes. However, I then prove theoretically that there does exist a transformer architecture capable of modeling LEM, suggesting that current training procedures and/or the structure (i.e. lack thereof) of purely textual data may be insufficient for transformers to inductively learn LEM.