HandLand is a SaaS product that lets you create and play interactive two-player games like Rock, Paper, Scissors, Staring Contest, and 007 using hand gestures. It uses WebRTC and Websockets for real-time connection, allowing easy deployment with Vercel or Heroku. You can train custom models for hand motions through video annotation.
Features
Rock, Paper, Scissors Game
A two-player game that can be played via the web application. It connects players who join the same room using shareable links.
Staring Contest Game
A two-player game where users compete in a staring contest online, using webcams for interaction.
Block, Reload, Shoot Game
A multiplayer game that mimics a standoff, using actions like block, reload, and shoot.
Custom Game Creation
Allows users to create their own hand gesture-based games by using video annotation to train models.
WebSocket and WebRTC Integration
Uses WebRTC and native WebSockets to enable real-time connection for multiplayer gaming.
Roboflow Integration
Utilizes Roboflow's vision models and API to enable users to train their custom models for gesture detection.
Deployment Options
Provides instructions for deploying the application on Vercel and Heroku using GitHub integration.
Dataset Management
Allows users to upload, organize, and manage their image datasets for computer vision projects.
Model Training
Provides tools to train machine learning models on the uploaded datasets using various algorithms and frameworks.
Model Deployment
Facilitates the deployment of trained models to different environments or platforms for real-time inference.
Collaboration Tools
Supports collaboration among team members with shared access to datasets and models.
API Access
Offers API endpoints for integrating the platform's functionalities into other applications or workflows.