Final Projects
Final Projects for EE460J: Data Science Lab
- Austin Tsao, Chris Zhuang, Xinyi Zhu, Andy Ni, Chloe Arana, Amy Chang, and Max Zhou: Predicting Ames House Prices with Various Models. Video Link and Blog Link.
- Alamin Momin, Rishi Aneja, Amarendra Kancharla, Michael Hilborn, Parth Shinde, Het Patel, Suprabhat Tripathi: Reviewing Reviews.
- Matteo Agius-D’Arrigo, Alex Kremer, Austin Rath: Predicting Oil Well Profitability for SMBs. Video Link and Blog Link.
- Avish Thakral, Jacob Dach, Nathan Paull, Nikhil Krish, Praveen Radhakrishnan: Building AI for Emotion Detection. Video Link and Blog Link.
- Nikhil Kolluri, Young Jae Hur, Aditya Ojha, Yunong Liu, Yang Zhou, Jinze Zhao, Sakib Rahman: JANSY: Just Another Natural language processing attacker on Sentimental analYsis. Video Link and Blog Link.
- Aniket Marne, Dipanjan Ghose, Nishanth Navali, Parth Dargan, Rushi Patel, Sathvik Gujja: Electrical Power Systems — exploring smart cities via Data Science. Video Link and Blog Link.
- Ishan Shah, Michael Chen, Rishi Ponnekanti, Udai Jain, Zachary Chin, and Hannah Lee: Analyzing Features Extracted from IEEG Data for Seizure Detection. Video Link and Blog Link.
- Edwin Hernandez, Edwin Daniel, Kevin Pangottil, Emran Khan, Jennifer Smith, Jordon Kashanchi: Fine Arts Classification and Generation. Video Link and Blog Link.
- David Janosky, Vishal Bhongir, Sohaib Khan, Yusuf Khan, Michael Fortanely: Stock Prediction Using GANs. Video Link and Blog Link.
- Allen Jiang, Daniel Yang, Johanna McCormack , Eralp Orkun, Lauren Head, Ammar Fatehi: SnakeAI. Video Link and Blog Link.
- Fernando Arriagada, Fernando Santana, Álvaro Lastra, Luis Torres, Armando Sala, Nicolás del Valle: Predicting Videogame Success. Video Link and Blog Link.
- Stefan Deitrich, Paul Thompson: The Toxicity of Wikipedia. Video Link and Blog Link.
- Anika Singh, Ravi Akalkotkar, Siddhant Singh, Brooks Keough, Ethan Hardy, Koushik Chennakesavan: Comparing Car Auctions versus Third Party Sellers using Machine Learning. Video Link and Blog Link.
- Anmol Anand, Sai Santosh, Tyler Burford, Joey Tambari: Shopee: Matching Product Images and Descriptions. Blog Link.
- Arya Amin, Uttami Godha, Harshika Jha, Jeremiah Davis, Kristen Erlon, Emily Steck: Creating New Movie Posters Through Style Transfer. Video Link and Blog Link.
- Seana Aghili, Brandon Garcia, Omar Gonzales, Brian Kim, Alejandro Neff: Gap Trading with Data Science. Video Link and Blog Link.
- Santosh Balachandra, Julian Fritz, Chris Karouta, Victor Lai, Pierce Nguyen, and Ari Takvorian: (AI)mbot: Real-Time Object Detection for CS:GO. Video Link and Blog Link.
- Gagan Kaushik, Samuel Yeboah, Will Worthington, Samuel Ochoa, Clark Poon, Vignesh Krishnamurthy, Deepanshi Sharma: ChefAI. Video Link and Blog Link.
- Niya Liang, Aashay Patel, Warren Vu, Yijie Wang, Feiyang Zhao, Mingxuan Zhao: Human Pose Estimation. Video Link and Blog Link.
- Amit Verma, Hasanain Manesia, Stephen Chang, Yash Dhaduti, and Brian Menezes: Our Experience with Numerai. Video Link and Blog Link.
- Anqing Chen, Jonathan Walsh, Matt MacDonald, Nicholas Chu, Ryed Ahmed, and Saaketh Rao: Amazon Review Rating Prediction with NLP. Video Link and Blog Link.
- Takuma Fujiwara, Adrian Cantu Garza, Raed Asdi, Nikhil Jalla, Samuel Rizzo, and Aly Ashraf: Predicting Credit Card Fraud From Transaction Information. Video Link and Blog Link.
- Kush Desai, Trey Boehm, Sahil Vaidya, Santhosh Saravanan, Seth Sehon, Jordan Pamatmat: Analyzing and Evaluating Chess Games. Video Link and Blog Link.
- Anthony Bazzini, Kushal Shah, Anirudh Anasuri, Hunter Pischke, Dillon Gentry, Paras Sharma: Predicting COVID-19 via CT Scans. Video Link and Blog Link.
- Johnson Zhang, Ryan Davis, Peter Wagenaar, David Dickson, Alex Stahl, David Rollins: APBio: an exploration of protein synthesis with A.I. Video Link and Blog Link.
- William Avery, Satya Boddu, Sai Koukuntla, JinLee, Lindia Tjuatja, and Logan Winger: HaHackathon – Identifying and rating humor and offensiveness of texts. Video Link and Blog Link.
- Austin Blanchard, David Exiga, Kris Killinger, Neil Narvekar, Dat Nguyen, and Sofia Valdez: Generating Music using an LSTM Neural Network. Video Link and Blog Link.
- John Nguyen, Hussam Djadi, Henry Davis, Yancheng Du, Mina Gawargious, Tyler Black: Generated Piano Music. Video Link and Blog Link.
- Amogh Agnihotri, Reese Costis, Prajakta Joshi, Rebecca Phung, Suhas Raja, and Ramya Rajasekaran: Beatris: an Evil Tetris AI
- Zachary Arredondo, Kumaran Arulmani, Rahul Butani, Rishab Chander, Nathan Chin, Wenran Lu: Using Generative Adversarial Networks to Create Dog Images
- Aman Hemani, Vinay Shah, Tony Li, Mohaimin Sadiq, Geof Tian, Shashwat Pandey: SnakeAI
Kevin Sheu, Kevin Lee. Luis Quintanilla, Zijian Wang (Steven), Anirban Sarkar, Nikhil Kanzarkar: Reinforcement Learning for Taxi-v2
- Kayvon Khosrowpour, Allison Crow, Jared Cormier, Brandon Shang, Phyllis Ang, Steven Zhu: AudioChronology - Sound Decade Prediction
- Rohan Balaji, Elvin Hung, Ryan McCray, Ali Soomar, Sandeep Guggari, Nathan Cleaver: Generative Adversarial Networks for Car Image Generation
- Charlie Yeng, Simon Xie, Numan Gilani, Dylan Bray, Hassan Chughtai, Guilherme Zamorano: Predicting Popularity of Instagram Posts
- Benjamin Guo, Christian Han, Joshua Luo, Kylar Osborne, Justin Qu, Cooper Shearer: Team Retro – An Exploration of Neural Networks Playing Video Games
- Chimezie Iwuanyanwu, Ejeh Okorafor, Prawal Sharma, Ashar Malik, David Bush, John Love: Real Time Style Transfer
- Prerana Maslekar, Alexander Cathis, Yash Karundia, Animesh Goyal: Cold-User Recommendation Using Multi Armed Bandits
- Sameer Bibikar, Piotr Strycharski, Sofia Kamenova, Srinjoy Majumdar, Juan Pablo Pino, Thomas Anthony: Fabricating Relevant Movie Reviews
- Arjun Singh, Alex Issa, Jake Nimergood, Michael Herrington, Isabel Rogers, Anushree Biradar: Generating Classical Music via LSTMs and Attention
- Henok Tadesse, Qian Wen, John Truong, Pranav Rama. Mustafa Irfan, Andrew Vu: Political Classification of Presidential Speeches
- Dhruv Sandesara, Ayush Srivastava, Karim Sabar, Hamza Khatri, Alec Phillips, Casey Hu: Predicting Men’s Cricket Matches
- Aneesh Soni, Zarif Choudhury, Aashima Garg, Brian Wilmarth, Vaidehi Duraphe: Understanding Dockless Mobility
- David Zehden, Antonio Perez, Liangcheng Zhang, Rob Misasi, Thomas Wei, Sam Kaeser: Creating Music Using GANs
- Brandon Lee, David Yuan, Cindy Vu, Meiling Tang, Grace Jung, Nicolas Key, Zachary Herink: Petfinder Adoption Prediction
- Jiawei Wang, Hyunsu Chae, Sangsu Lee, Fei He: Representing Human Mobility Patterns with HMMs
- Wesley Klock: Picking Winning Startups
- Amaya Nick, Nieman Nick, Prakash Raghav, Rahman Farhan: Lyristic
- Samuel Zhang, Danny Vo, Troy Stidd, Aaron Li, Patrick Zhu: It’s Magic
- Wesley Klock: Picking Winning Startups
- Amaya Nick, Nieman Nick, Prakash Raghav, Rahman Farhan: Lyristic
- Ng Evonne, Ly Calvin, Zhu Colin, Wu Cynthia, Saini Nav: Subtle Accent Traits
- Sachdeva Shrey, Kawamura Daichi, Dean Joseph, Nyugen Jason, Poondi Kausthub: FashionBoard
- Chang Yuan, Unger Clive, Gupta Ashwin, Huang Benson, Suduwa-Dewage Avishka: PlayerUnknown’s Battlegrounds
- Shenoy Jayanth, Rai Rishabh, Chen David, Wang Yuang, Krish Shruthi: r/
- Kaab Ashqeen, Kevin Tian, Jason Fang, Jun Min Noh, Nabil Khan: Chain Colorization
- Chioma Okorie, David Yu, Luis Quintanilla: Defending Against Adversarial Examples
- Heath Paul, Liu Xiangxing, Dashko Andriy, Hoang Justin: Porto Seguro
- Khan Aimun, Johnson Caleb, Wyde Reid, Kumar Nimay, Arthur Michael: Hotshots
Final Projects for MIS classes