From 80cad9d82927544be946fd85441d82ad4dd49efe Mon Sep 17 00:00:00 2001
From: Alex Shields-Weber <72238329+alliesw@users.noreply.github.com>
Date: Thu, 3 Apr 2025 17:46:12 -0600
Subject: [PATCH 1/3] Update README.md

Hi Tyler,

I would love to contribute to your repo - it's very fun and interesting! Would you have me on board?

Best,
Alex
---
 README.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1120d23..a0b893b 100644
--- a/README.md
+++ b/README.md
@@ -39,6 +39,12 @@
 - [x] Beginner Course
 - [ ] Intermediate Course
 - [ ] Advanced Course
+- [ ] AI-Driven Time Travel Documentary
+Project Idea: Create a documentary-style video series where AI is used to reconstruct historical events or ancient civilizations, and then project them into the present day using AI to fill in the missing details. The AI can reconstruct lost voices, animations, and even generate "what if" scenarios.
+
+Complexity: The AI would need access to large datasets, historical records, and detailed understanding of time periods to generate realistic reconstructions. You could explore alternate history scenarios or imagine how the world would have looked had certain events unfolded differently.
+
+Key AI Tools: AI-driven video synthesis (like deepfake or GANs), historical data sets, natural language generation, and neural network training on period-specific imagery.
 
 ## Updates:
 - 05/03/2024 - added directory for frontend code saving and example .net code
@@ -46,4 +52,4 @@
 - 10/03/2024 - updated crewai with new crew examples, changed how they are created
 - 10/04/2024 - added crewai_create_a_crew and crewai_custom_tool
 - 10/10/2024 - added crewai_series with 6 days of crewai examples, will add 2 more as I continue the series
-- 10/14/2024 - added jupyter notebooks for crewai_series, refining some of the code as well
\ No newline at end of file
+- 10/14/2024 - added jupyter notebooks for crewai_series, refining some of the code as well

From ca29adaff5f389e1c9ca397704d1c0bbe1498328 Mon Sep 17 00:00:00 2001
From: Alex Shields-Weber <72238329+alliesw@users.noreply.github.com>
Date: Thu, 3 Apr 2025 17:49:41 -0600
Subject: [PATCH 2/3] Update README.md

---
 README.md | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/README.md b/README.md
index a0b893b..c4c1c78 100644
--- a/README.md
+++ b/README.md
@@ -40,11 +40,7 @@
 - [ ] Intermediate Course
 - [ ] Advanced Course
 - [ ] AI-Driven Time Travel Documentary
-Project Idea: Create a documentary-style video series where AI is used to reconstruct historical events or ancient civilizations, and then project them into the present day using AI to fill in the missing details. The AI can reconstruct lost voices, animations, and even generate "what if" scenarios.
 
-Complexity: The AI would need access to large datasets, historical records, and detailed understanding of time periods to generate realistic reconstructions. You could explore alternate history scenarios or imagine how the world would have looked had certain events unfolded differently.
-
-Key AI Tools: AI-driven video synthesis (like deepfake or GANs), historical data sets, natural language generation, and neural network training on period-specific imagery.
 
 ## Updates:
 - 05/03/2024 - added directory for frontend code saving and example .net code

From fea408fff1e6f71fac87600ee7fc645cfc45b3fd Mon Sep 17 00:00:00 2001
From: Alex Shields-Weber <72238329+alliesw@users.noreply.github.com>
Date: Thu, 3 Apr 2025 17:54:27 -0600
Subject: [PATCH 3/3] Update README.md

---
 README.md | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c4c1c78..67222b7 100644
--- a/README.md
+++ b/README.md
@@ -39,7 +39,12 @@
 - [x] Beginner Course
 - [ ] Intermediate Course
 - [ ] Advanced Course
-- [ ] AI-Driven Time Travel Documentary
+- [ ] 4. Image Classifier Using AI and TensorFlow
+Project Idea: Use machine learning to create an image classifier that can recognize different objects or categories (like cats vs. dogs). Start with basic neural networks and gradually introduce more complex concepts like convolutional neural networks (CNNs).
+
+Skills Learned: Python, TensorFlow, neural networks, image processing, and model evaluation.
+
+Video Series: "Build Your Own Image Classifier with TensorFlow", explaining how to load datasets, train the model, evaluate its accuracy, and make predictions.
 
 
 ## Updates: