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Update README with Day 1 progress

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@@ -40,6 +40,28 @@ To build a production-ready RAG pipeline in 30 days and land a remote AI job by
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  Check commits and folders daily to follow the sprint. Each folder corresponds to 1 day of learning and building.
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  ## ๐Ÿ“ฌ Contact
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  Made by [Hamid Omarov](https://www.linkedin.com/in/hamidomarov)
 
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  Check commits and folders daily to follow the sprint. Each folder corresponds to 1 day of learning and building.
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+ ## ๐Ÿ“… Day 1 โ€“ Getting Started with Python & Flask
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+ ### โœ… What I Learned
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+ - Refreshed core **Python basics** (variables, functions, classes, etc.)
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+ - Built my first **Flask API** with real-world JSON responses
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+ - Practiced structured coding with **Copilot assistance**
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+ ### ๐Ÿ› ๏ธ What I Built
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+ - `hello_ai.py`: A minimal Python script to print a welcome message
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+ - `api.py`: A Flask application with 3 endpoints:
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+ - `/hello`: greeting message
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+ - `/calculate`: accepts 2 numbers (POST) and returns their sum
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+ - `/ai-ready`: motivational message for AI learning
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+ ### ๐Ÿ”ฎ Tomorrow's Plan
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+ - Begin **LangChain** setup and environment configuration
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+ - Start working on **RAG-based document processing**
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+ - Set up folder structure and `day2` workflow
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+ > ๐Ÿ‘ฃ One day down, 29 to go. Keep shipping.
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  ## ๐Ÿ“ฌ Contact
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  Made by [Hamid Omarov](https://www.linkedin.com/in/hamidomarov)