@wsl8297: When learning AI, the scariest part is getting stuck at "understanding the theory" and freezing when it's time to write code — not knowing where to start, and unable to find decent practice projects. I unearthed a practical treasure trove on GitHub: AI-Project-Gallery. It collects 30+ high-quality AI projects, covering classic topics like house price prediction and disease classification, as well as hot applications like Gemini chatbot and document generator...

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This post shares a curated GitHub repository containing over 30 practical AI projects, covering domains from regression to generative AI, with many end-to-end examples, suitable for learners and developers.

When learning AI, the scariest part is getting stuck at "understanding the theory" and freezing when it's time to write code — not knowing where to start, and unable to find decent practice projects. I unearthed a practical treasure trove on GitHub: AI-Project-Gallery. It collects 30+ high-quality AI projects, covering classic topics like house price prediction and disease classification, as well as hot applications like Gemini chatbot and document generator. The collection is comprehensive and the directions are up-to-date. GitHub: https://github.com/KalyanM45/AI-Project-Gallery… More importantly, it specifically marks a large number of End-to-End projects: data processing, model training, evaluation, and deployment — a complete pipeline, not a patchwork of code snippets. Besides Python source code, it also includes Power BI data analysis and web scraping cases, so you practice both models and data skills. If you're looking for a graduation project topic, building a project portfolio, or adding solid work to your GitHub, this repository is very suitable to start practicing directly.
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