✅ Week 1 — Full Daily Plan (April Week 1)
🗓️ Day 1 – Monday
- 📚 Python for Everybody – Chapter 1: Why Programming
- 📚 AI for Everyone – Lesson 1: What is AI?
- 💻 Install Python, pip, Git, VSCode, ultralytics, OpenCV
- 💡 Create GitHub Repo
crowd-heatmap-ai, upload README.md - 🧩 LeetCode: Two Sum
- 🏃 30-min fast walk
- 📝 Daily review in Notion
🗓️ Day 2 – Tuesday
- 📚 Python for Everybody – Chapter 2: Variables and Expressions
- 📚 AI for Everyone – Lesson 2: Supervised vs Unsupervised Learning
- 💻 Download sample beach images
- 💻 Run
yolo predictand visualize results - 🧩 LeetCode: Palindrome Number
- 🏃 Stretch 15 mins
- 📝 Record YOLO output interpretation
🗓️ Day 3 – Wednesday
- 📚 Python for Everybody – Chapter 3: Conditional Execution
- 📚 AI for Everyone – Lesson 3: Building AI Projects
- 💻 Draw grid regions on beach images with OpenCV
- 💻 Visualize people bounding boxes with OpenCV
- 🧩 LeetCode: Valid Parentheses
- 🏃 Walk outdoors 20 mins
- 📝 Image processing notes
🗓️ Day 4 – Thursday
- 📚 Python for Everybody – Chapter 4: Functions
- 💻 Implement
count_people_in_regions() - 💻 Output counts as JSON
- 🧩 LeetCode: Merge Two Sorted Lists
- 🏃 Core strength workout 15 mins
- 📝 Code structure and bug notes
🗓️ Day 5 – Friday
- 📚 Python for Everybody – Chapter 5: Loops and Iterations
- 📚 AI for Everyone – Lesson 4: What AI Can and Cannot Do
- 💻 FastAPI project skeleton +
/analyzeroute - 💻 CLI support for
analyze_image.py - 🧩 LeetCode: Remove Duplicates from Sorted Array
- 🏃 Evening walk or indoor cardio 30 mins
- 📝 Weekly mini review
🗓️ Day 6 – Saturday
- 📚 Review Python chapters 1–5
- 💻 Improve people counting demo
- 🧠 Make annotated demo images
- 🧩 LeetCode: Best Time to Buy and Sell Stock
- 🏃 Indoor HIIT 20 mins
- 📝 Reflect on project technical challenges
🗓️ Day 7 – Sunday
- 📚 Review AI for Everyone Lessons 1–4
- 💻 Organize analyze_image.py + API doc
- 🧠 Upload first SurfWatch project version to GitHub
- 🧩 LeetCode: Maximum Subarray
- 🏃 Light walk + stretching
- 📝 Full Week 1 reflection report
📚 Coursera This Week
- Python for Everybody (Chapter 1–5)
- AI for Everyone (Lesson 1–4)