Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Song to Art/Album based purely on musical content, no metadata
Model agnostic framework to detect and mitigate bias based on spuriosity given a sample spuriously ranked dataset.
Exploring new techniques to train a diffusion model by providing a combination of multiple captions.
AI Diving Judge: The fairest of them all
Representing Scenes as Neural Radiance Fields for View Synthesis
The idea of the project is to investigate whether depth information helps in classification or object recognition tasks.
Constructing 3D objects, from 2D Images
Detect and understand anomalies in time series data such as the stock market.
We plan to use a multi-layer transformer architecture in traditional reinforcement learning tasks.
We are trying to differentiate the carbon ink on papyrus scrolls from the carbon ash of a volcano that they were buried in. We can then recreate the segment of the scroll so we can read it.
Speech into sign language for inclusive communication
Classifying four different types of lung cancer based on CT scan images.
our final project
Driving Safety Redefined: Autopilot On Demand for Emergency Intervention
Our goal is to build a Large Language Model (LLM)-based video game – an instruction-following system for text-based fantasy adventures.
Outlier detection of winning NSF GRFP essays
In this project, we aim to predict a person's MBTI personality type base on NLP techniques.
Generating chords from a text through a transformer model (machine translation).
Predicts the presence of disease within a chest X-Ray as well as the bounding box around where this disease exists within the x-ray. Helping to diagnose severe illnesses around the world.
Leveraging CNN architecture to evaluate and classify the freshness of tea leaves
We will be creating a GAN. This is composed of two models—the generator network that generates fake images, and the discriminator network that determines if input images are generated or 'real'.
Classifying images of faces as some sentiment (happy, sad, etc.) using CNNs - potentially with XAI involved too if time allows!
CSCI 1470 Final Project
Colorize with Deep Learning: From Grayscale to Vibrant Hues! Access deliverables in our "DevPost Story"
49 – 72 of 101
