doushi.ai is an AI tool that simplifies the creation of AI models by allowing users to upload datasets and describe prediction needs in natural language.
Why it matters
GitHub
API Available
overview
doushi.ai is a no-code AI model creation tool that enables solo founders, freelancers, startups, and agencies to build and deploy AI models. It allows users to upload datasets and describe their prediction needs in natural language, automating data cleaning, algorithm selection, and REST API deployment within minutes.
features
doushi.ai provides a suite of features designed to streamline the AI model development process for users without machine learning expertise.
use cases
doushi.ai is designed for individuals and organizations seeking to leverage AI predictions without requiring deep machine learning knowledge or extensive coding.
how to use
To begin using doushi.ai, users typically upload their dataset and define their prediction objective using natural language. The platform then automates the model creation and deployment process.
pricing
doushi.ai operates on a freemium model, offering a free tier alongside several paid subscription plans and usage-based pricing for API calls. All plans include access to the core platform features.
Similar Tools
doushi.ai competes in the no-code and low-code AI platform market, distinguishing itself through its emphasis on natural language input for model definition.
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Akkio offers a comparable no-code UI for building and deploying models with API access. While both simplify AI creation, doushi.ai highlights natural language input for problem definition, which might be a more direct way to start for some users.
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MindsDB simplifies AI model creation and deployment, similar to doushi.ai, but its core approach is database-centric and relies on SQL for interaction. This requires familiarity with SQL, whereas doushi.ai offers a more general no-code UI with natural language input.
A low-code, open-source Python library that streamlines the entire machine learning workflow from data preparation to model deployment.
PyCaret is an open-source Python library, requiring a coding environment and basic Python knowledge, which is a different workflow compared to doushi.ai's hosted no-code UI. However, it offers significant simplification of the ML process and is genuinely free.
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