Skip to main content

OmniAI: Automated Machine Learning Pipeline - Christmas 2025 Edition by Lakshya Gupta

Project description

🚀 OmniAI - Universal AI with Medical Specialization

One library for ALL your AI needs. Medical, Business, Research - Zero configuration needed.

Python 3.7+ License: MIT PyPI version

✨ Features

  • Auto Algorithm Selection - 20+ algorithms (Neural Networks, SVM, XGBoost, etc.)
  • One-Click Training - Upload data → Get trained model
  • Medical Specialization - FDA-acceptable algorithms for healthcare
  • Business Analytics - Customer churn, sales prediction, risk assessment
  • 100GB+ Ready - Dask integration for massive datasets
  • Web Interface - No-code UI (Streamlit)
  • API Ready - Production REST API

🚀 Quick Start

# Install
pip install omniai-lakshya

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

omniai_lakshya-1.0.1.tar.gz (14.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

omniai_lakshya-1.0.1-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file omniai_lakshya-1.0.1.tar.gz.

File metadata

  • Download URL: omniai_lakshya-1.0.1.tar.gz
  • Upload date:
  • Size: 14.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for omniai_lakshya-1.0.1.tar.gz
Algorithm Hash digest
SHA256 03a80c1abc8ecd7c73855d98c7c0d0b8f1045de6848fba5643a0c0dac215d5f5
MD5 3ab39e4126025b6453937bfa22995e30
BLAKE2b-256 5fa4fbbe9a5a97875321329f918fd6ae4aa04151d5ed460cd8fd89a6e07d4fa3

See more details on using hashes here.

File details

Details for the file omniai_lakshya-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: omniai_lakshya-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for omniai_lakshya-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7faa0440279404ea9f8dba25aa7830cff06e2831fc35194e6b4409555171fdc7
MD5 32682dbdd056d66ffdd9d3ff388dd565
BLAKE2b-256 200908d11e9d76e3c5b9ef6c89dd19facd3c01932d442f6ffb08d4f0d255067f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page