{"id":991800,"date":"2026-09-17T21:03:38","date_gmt":"2026-09-17T14:03:38","guid":{"rendered":"https:\/\/5id.vn\/ai-project-gallery-33-production-ready-ai-projects\/"},"modified":"2026-09-17T21:03:38","modified_gmt":"2026-09-17T14:03:38","slug":"ai-project-gallery-33-production-ready-ai-projects","status":"publish","type":"post","link":"https:\/\/5id.vn\/vi\/ai-project-gallery-33-production-ready-ai-projects\/","title":{"rendered":"AI Project Gallery: 33 Production-Ready AI Projects"},"content":{"rendered":"
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AI Project Gallery is a curated GitHub repository that aggregates 33 complete AI applications ready for production. Each project can be cloned, tested, and expanded, offering a hands-on playground for engineers who need real-world codebases.<\/p>\n

The collection spans several domains. Under Machine Learning you'll find models for predicting Airbnb rental prices, estimating flight ticket costs, and monitoring and analyzing student learning outcomes. The healthcare section (AI for healthcare) includes a chest X-ray disease detector, a heart-disease prediction model, and a diabetes-risk analysis tool. Generative AI applications feature a real-time Gemini chatbot, an AI medical assistant, and a document-analysis engine that reads and interprets text. Computer-vision examples cover hand-tracking, drug identification, and practical OpenCV demos. Data analysis & dashboard projects deliver insights for e-commerce, restaurant performance analytics, and even cricket match tracking.<\/p>\n

For students and practitioners of data science or machine learning, the repository serves as a bridge to production-grade projects, allowing experimentation with code that mirrors industry workflows. The repo is openly available at AI Project Gallery – GitHub and includes clear README files to get started quickly.<\/p>\n

References<\/h2>\n

These external sources were used to verify the article and provide deeper context.<\/p>\n