Discover how innovative AI solutions are tackling real-world challenges!
We are thrilled to announce the winners of the AI Project Showcase Competition 2024. These projects stood out for their innovation, technical excellence, and potential impact.
Note - In addition to our four main category winners, we are proud to recognize two more outstanding projects with special awards, celebrating the breadth of innovation in our AI community. Join us in celebrating the achievements of all our winners!
Title: Evaluation of precision & accuracy in classifying breast histopathology images using MobileNetV3
Authors: Gary Takahashi, Kenneth DeVoe, and Ebrahim Tarshizi
This project exemplifies excellence across all judging criteria. The team's use of MobileNetV3 for breast cancer image classification demonstrated outstanding technical implementation and efficiency. Their work shows immense potential for improving medical diagnostics, combining cutting-edge AI with critical healthcare needs. The clear presentation and thorough documentation further elevated this project, making it a standout contribution to AI in healthcare.
Prize: $500 cash for the team; digital certificates and a 1-year Pro Plan subscription for each team member.
Title: Leveraging Kaplan-Meier Estimator: Transforming Traditional POS Rental into a One-Time Subscription
Authors: Nivedita Chauhan, Eashan Gaikwad, and Hirdesh Khanna
This project stands out for its creative application of statistical methods to solve a real-world business challenge. The team's innovative use of the Kaplan-Meier estimator to optimize pricing for POS terminal subscriptions demonstrates that impactful innovation doesn't always require complex models. Their approach offers a disruptive solution in a traditional industry, showcasing how data science and statistics can drive significant business model transformations. The clear presentation of this high-impact idea impressed our judges with its potential for innovation in the financial services industry.
Prize: $250 cash for the team; digital certificates and a 1-Year Pro Plan subscription for each team member.
Title: Generative-AI Model for noise detection in Breast Cancer Ultrasound Images
Author: Youssef Magdy Samy Poulis
This project exemplifies exceptional technical prowess in addressing a critical medical imaging challenge. The author's implementation of a Convolutional Neural Network (CNN) Autoencoder for noise reduction in breast cancer ultrasound images showcases outstanding attention to detail and rigorous methodology. With 40 different training trials exploring various parameters, and the use of multiple datasets including a custom-created one, this work demonstrates a thorough and systematic approach to deep learning research. The project's commitment to reproducibility through shared code and datasets, coupled with a fair comparison to existing techniques, sets a high standard for technical implementations in AI for healthcare.
Prize: $250 cash for the team; a digital certificate and a 1-Year Pro Plan subscription.
Title: Music composer classification of MIDI files using Deep Learning
Authors: Gary Takahashi and Lisa Vo
This project captivates with its novel approach to a fascinating challenge: identifying composers from MIDI files. The authors' work stands out for its creative application of deep learning to music analysis, combining technical rigor with an inherently engaging subject matter. Their detailed explanation of the feature selection process, comparison of multiple models (SVM, LSTM, and CNN), and thoughtful discussion of results demonstrate both technical depth and excellent communication skills. By bridging the worlds of music and AI, this project not only achieves impressive accuracy but also presents its findings in a way that sparks curiosity and invites further exploration.
Prize: $250 cash for the team; digital certificates and a 1-Year Pro Plan subscription for each team member.
Title: Dynamic parameter optimization with RL in FOREX
Author: Laxmi Tiwari
This project stands out for its ambitious scope and innovative approach to a complex challenge in the world of FOREX trading. The author's use of cooperative multi-agent Reinforcement Learning to dynamically optimize take profit and stop loss parameters demonstrates a high level of technical sophistication and creativity. The project's complexity and potential impact are impressive, exemplifying the kind of forward-thinking, complex solutions we aim to foster in the AI community.
We eagerly anticipate future iterations of this promising work, complete with comprehensive documentation that fully showcases the depth of such innovative approaches. This project sets a high bar for applying advanced AI techniques to real-world financial challenges.
Prize: $100 cash for the team; a digital certificate and a 1-year Pro Plan subscription.
Title: SumBot FreeCode
Author: Fabiana Campanari
This project innovatively combines GPT-3.5 Turbo, Slack, and Zapier to create SumBot FreeCode, a tool for summarizing workplace conversations. It showcases how existing AI technologies can be creatively integrated to enhance productivity, going beyond traditional research applications.
The author's use of video demos effectively illustrated the tool's functionality, highlighting the potential for AI-driven innovations in everyday software.
For future submissions, we encourage detailed documentation of the development process, usage, and discussions on the tool's benefits and potential impact. We look forward to seeing more innovative AI tools that address practical problems, along with insights into their real-world applications and societal implications.
Prize: $100 cash for the team; a digital certificate and a 1-year Pro Plan subscription.
Welcome to Ready Tensor's first AI Project Showcase Competition! We invite AI enthusiasts, students, researchers, and professionals worldwide to share their innovative AI and data science projects.
We are looking for projects that demonstrate practical applications or potential real-world impact. Your project can be from any domain—business, healthcare, finance, environment, technology, and more.
These are examples of the type of projects that could be submitted to the competition. Please note that these are not actual competition entries, but are provided to give you an idea of what a submission might look like.
These examples showcase innovative AI applications solving real-world problems. Your submission could be on any AI/ML topic that demonstrates practical impact.
Four exciting prizes will be awarded:
All participants will receive a digital certificate of participation.
Winning projects will be featured on the Ready Tensor platform and our social media channels, providing exposure to a wide audience of AI professionals and enthusiasts.
Ready to Join the AI Project Showcase Competition?
In this competition, a 'Publication' is a structured write-up of your AI/ML/data science project on our Ready Tensor platform. It can take various forms:
Four (4) Winning Publications will be selected in the following categories:
Our panel of AI experts will evaluate submissions based on the following criteria:
Don't Miss This Opportunity to Shine in the AI Community
Submission Requirements:
Competition Entry:
Public Visibility:
Use of Submissions:
Compliance:
Participants should submit a publication on the Ready Tensor platform describing their AI project. While the structure is flexible, we recommend including the following elements:
Remember, while we provide these guidelines, you have the flexibility to present your project in the way you think best highlights its strengths and impact.
Join the Competition and Get Recognized for Your Work