From 62fa3c4a79542556edaf6ec83bd889ab24c11cb7 Mon Sep 17 00:00:00 2001
From: that-ar-guy <mohdarahman124@gmail.com>
Date: Sun, 19 Jan 2025 14:09:18 +0530
Subject: [PATCH 1/4] basic structure flow done

---
 .../computer-vision/counting-bicep-reps.md    | 202 ++++++++++++++++++
 docs/projects/computer-vision/index.md        |   9 +
 2 files changed, 211 insertions(+)
 create mode 100644 docs/projects/computer-vision/counting-bicep-reps.md

diff --git a/docs/projects/computer-vision/counting-bicep-reps.md b/docs/projects/computer-vision/counting-bicep-reps.md
new file mode 100644
index 00000000..a0e9c9dc
--- /dev/null
+++ b/docs/projects/computer-vision/counting-bicep-reps.md
@@ -0,0 +1,202 @@
+<!-- REMOVE ALL THE COMMENTED PART AFTER WRITING YOUR DOCUMENTATION. -->
+<!-- THESE COMMENTS ARE PROVIDED SOLELY FOR YOUR ASSISTANCE AND TO OUTLINE THE REQUIREMENTS OF THIS PROJECT. -->
+<!-- YOU CAN ALSO DESIGN YOUR PROJECT DOCUMENTATION AS YOU WISH BUT SHOULD BE UNDERSTANABLE TO A NEWBIE. -->
+<!-- FOR REFERENCE, YOU MAY CONSULT THE FILE LOCATED AT 'docs\nlp\projects\twitter_sentiment_analysis.md'. -->
+
+# Project Title 
+<!-- Write the title of your project here. Keep it precise and clear. -->
+
+### AIM 
+<!-- Describe the main goal or objective of the project. For example: "To classify images of cats and dogs using CNN." -->
+
+
+### DATASET LINK 
+<!-- Attach the link of the Dataset -->
+[link](link)
+
+
+### NOTEBOOK LINK 
+<!-- Provide the link to the notebook where you solved the project. It could be a Kaggle, Colab, or Drive link. -->
+[link](link)
+
+
+### LIBRARIES NEEDED
+<!-- Mention it in bullet points either in numbering or simple dots -->
+<!-- Mention all the libraries required for the project. You can add more or remove as necessary. -->
+
+??? quote "LIBRARIES USED"
+
+    - pandas
+    - numpy
+    - scikit-learn
+    - matplotlib
+    - seaborn
+    - tensorflow
+    - keras
+
+--- 
+
+### DESCRIPTION 
+<!-- Properly describe the project. Provide the answer of all the questions,
+what is the requirement of the project?, 
+why is it necessary?, 
+how is it beneficial and used?, 
+how did you start approaching this project?, 
+Any additional resources used like blogs reading, books reading (mention the name of book along with the pages you have read)?
+etc. -->
+<!-- Properly describe the project and answer the following questions: -->
+
+<!-- Provide a comprehensive overview of the project -->
+
+!!! info "What is the requirement of the project?"
+<!-- Why did you need to create this project? -->
+    - Write the answer here in simple bullet points. 
+
+??? info "Why is it necessary?"
+<!-- Why is this project important? Mention its significance. -->
+    - Write the answer here in simple bullet points. 
+
+??? info "How is it beneficial and used?"
+<!-- How will this project benefit others or solve problems? -->
+    - Write the answer here in simple bullet points. 
+
+??? info "How did you start approaching this project? (Initial thoughts and planning)"
+<!-- What were your initial thoughts and strategies for this project? -->
+    - Write the answer here in simple bullet points. 
+
+??? info "Mention any additional resources used (blogs, books, chapters, articles, research papers, etc.)."
+<!-- Mention any additional resources, such as blogs, books, articles, or research papers, that you used. -->
+    - Write the answer here in simple bullet points. 
+
+
+--- 
+
+### EXPLANATION 
+
+#### DETAILS OF THE DIFFERENT FEATURES 
+<!-- Elaborate the features as mentioned in the issues, perfoming any googling to learn about the features -->
+<!-- Describe the key features of the project, explaining each one in detail. -->
+
+
+--- 
+
+#### PROJECT WORKFLOW 
+<!-- Clearly define the step-by-step workflow followed in the project. You can add or remove points as necessary. -->
+
+=== "Step 1"
+
+    Initial data exploration and understanding:
+
+      - Start Writing from here in bullet points.
+
+=== "Step 2"
+
+    Data cleaning and preprocessing:
+
+      - Start Writing from here in bullet points.
+
+=== "Step 3"
+
+    Feature engineering and selection:
+
+      - Start Writing from here in bullet points.
+
+=== "Step 4"
+
+    Model training and evaluation:
+
+      - Start Writing from here in bullet points.
+
+=== "Step 5"
+
+    Model optimization and fine-tuning:
+
+      - Start Writing from here in bullet points.
+
+=== "Step 6"
+
+    Validation and testing:
+
+      - Start Writing from here in bullet points.
+
+--- 
+
+#### PROJECT TRADE-OFFS AND SOLUTIONS 
+<!-- Explain the trade-offs encountered during the project and the solutions you implemented. -->
+
+=== "Trade Off 1"
+    - Describe the trade-off encountered (e.g., accuracy vs. computational efficiency).
+      - Explain how you addressed this trade-off (e.g., by optimizing hyperparameters, using a more efficient algorithm, etc.).
+
+=== "Trade Off 2"
+    - Describe another trade-off (e.g., model complexity vs. interpretability).
+      - Explain the solution (e.g., by selecting a model that balances both aspects effectively).
+
+--- 
+
+### SCREENSHOTS 
+<!-- Include screenshots, graphs, and visualizations to illustrate your findings and workflow. -->
+
+!!! success "Project workflow"
+
+    ``` mermaid
+      graph LR
+        A[Start] --> B{Error?};
+        B -->|Yes| C[Hmm...];
+        C --> D[Debug];
+        D --> B;
+        B ---->|No| E[Yay!];
+    ```
+
+??? tip "Visualizations and EDA of different features"
+
+    === "Image Topic"
+        ![img](images/<selected_image>.png "a title")
+
+??? example "Model performance graphs"
+
+    === "Image Topic"
+        ![img](images/<selected_image>.png "a title")
+
+--- 
+
+### MODELS USED AND THEIR EVALUATION METRICS 
+<!-- Summarize the models used and their evaluation metrics in a table. -->
+
+|    Model   | Accuracy |  MSE  | R2 Score |
+|------------|----------|-------|----------|
+| Model Name |    95%   | 0.022 |   0.90   |
+| Model Name |    93%   | 0.033 |   0.88   |
+
+--- 
+
+### CONCLUSION 
+
+#### KEY LEARNINGS 
+<!-- Summarize what you learned from this project in terms of data, techniques, and skills. -->
+
+!!! tip "Insights gained from the data"
+    - Write from here in bullet points
+
+??? tip "Improvements in understanding machine learning concepts"
+    - Write from here in bullet points
+
+??? tip "Challenges faced and how they were overcome"
+    - Write from here in bullet points
+
+--- 
+
+#### USE CASES
+<!-- Mention at least two real-world applications of this project. -->
+
+=== "Application 1"
+
+    **Headline**
+    
+      - Explain your application
+
+=== "Application 2"
+
+    **Headline**
+    
+      - Explain your application
diff --git a/docs/projects/computer-vision/index.md b/docs/projects/computer-vision/index.md
index 2780e68a..eba46bad 100644
--- a/docs/projects/computer-vision/index.md
+++ b/docs/projects/computer-vision/index.md
@@ -12,4 +12,13 @@
   </div>
 </a>
 
+<!-- bicep reps counting -->
+<a href="counting-bicep-reps" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
+  <img src="https://www.researchgate.net/publication/368864097/figure/fig1/AS:11431281123465557@1677717597497/Mediapipe-Poses-position-detection-of-33-posture-joints-Mediapipe-has-many-functions.png" alt="OpenCV Logo" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Counting Bicep Reps</h2>
+    <p style="font-size: 16px;">Real-time tracking and counting of bicep curls with Mediapipe's Pose module and OpenCV.</p>
+    <p style="font-size: 12px;">📅 2025-01-18 | ⏱️ 15 mins</p>
+  </div>
+</a>
 </div>

From 14670f176fd66c9024b1f28f78486d127e76142a Mon Sep 17 00:00:00 2001
From: that-ar-guy <mohdarahman124@gmail.com>
Date: Sun, 19 Jan 2025 14:43:00 +0530
Subject: [PATCH 2/4] biceps done

---
 .../computer-vision/counting-bicep-reps.md    | 166 ++++++------------
 1 file changed, 57 insertions(+), 109 deletions(-)

diff --git a/docs/projects/computer-vision/counting-bicep-reps.md b/docs/projects/computer-vision/counting-bicep-reps.md
index a0e9c9dc..be3c328b 100644
--- a/docs/projects/computer-vision/counting-bicep-reps.md
+++ b/docs/projects/computer-vision/counting-bicep-reps.md
@@ -1,72 +1,48 @@
-<!-- REMOVE ALL THE COMMENTED PART AFTER WRITING YOUR DOCUMENTATION. -->
-<!-- THESE COMMENTS ARE PROVIDED SOLELY FOR YOUR ASSISTANCE AND TO OUTLINE THE REQUIREMENTS OF THIS PROJECT. -->
-<!-- YOU CAN ALSO DESIGN YOUR PROJECT DOCUMENTATION AS YOU WISH BUT SHOULD BE UNDERSTANABLE TO A NEWBIE. -->
-<!-- FOR REFERENCE, YOU MAY CONSULT THE FILE LOCATED AT 'docs\nlp\projects\twitter_sentiment_analysis.md'. -->
+# Counting Bicep Reps Using OpenCV and Mediapipe  
 
-# Project Title 
-<!-- Write the title of your project here. Keep it precise and clear. -->
 
 ### AIM 
-<!-- Describe the main goal or objective of the project. For example: "To classify images of cats and dogs using CNN." -->
-
+To track and count bicep curls in real time using computer vision techniques with OpenCV and Mediapipe's Pose module.
 
 ### DATASET LINK 
-<!-- Attach the link of the Dataset -->
-[link](link)
+This project does not use a specific dataset as it works with real-time video from a webcam.
 
 
 ### NOTEBOOK LINK 
-<!-- Provide the link to the notebook where you solved the project. It could be a Kaggle, Colab, or Drive link. -->
-[link](link)
+[https://drive.google.com/file/d/13Omm8Zy0lmtjmdHgfQbraBu3NJf3wknw/view?usp=sharing](https://drive.google.com/file/d/13Omm8Zy0lmtjmdHgfQbraBu3NJf3wknw/view?usp=sharing)
 
 
 ### LIBRARIES NEEDED
-<!-- Mention it in bullet points either in numbering or simple dots -->
-<!-- Mention all the libraries required for the project. You can add more or remove as necessary. -->
 
 ??? quote "LIBRARIES USED"
 
-    - pandas
-    - numpy
-    - scikit-learn
-    - matplotlib
-    - seaborn
-    - tensorflow
-    - keras
+    - OpenCV
+    - Mediapipe
+    - NumPy
 
 --- 
 
 ### DESCRIPTION 
-<!-- Properly describe the project. Provide the answer of all the questions,
-what is the requirement of the project?, 
-why is it necessary?, 
-how is it beneficial and used?, 
-how did you start approaching this project?, 
-Any additional resources used like blogs reading, books reading (mention the name of book along with the pages you have read)?
-etc. -->
-<!-- Properly describe the project and answer the following questions: -->
-
-<!-- Provide a comprehensive overview of the project -->
 
 !!! info "What is the requirement of the project?"
-<!-- Why did you need to create this project? -->
-    - Write the answer here in simple bullet points. 
+    - The project aims to provide a computer vision-based solution for tracking fitness exercises like bicep curls without the need for wearable devices or sensors. 
 
 ??? info "Why is it necessary?"
-<!-- Why is this project important? Mention its significance. -->
-    - Write the answer here in simple bullet points. 
+    - Helps fitness enthusiasts monitor their workouts in real time.
+    - Provides an affordable and accessible alternative to wearable fitness trackers.
 
 ??? info "How is it beneficial and used?"
-<!-- How will this project benefit others or solve problems? -->
-    - Write the answer here in simple bullet points. 
+    - Real-time feedback on workout form and repetition count.
+    - Can be extended to other fitness exercises and integrated into fitness apps
 
 ??? info "How did you start approaching this project? (Initial thoughts and planning)"
-<!-- What were your initial thoughts and strategies for this project? -->
-    - Write the answer here in simple bullet points. 
+    - Explored Mediapipe's Pose module for pose landmark detection.
+    - Integrated OpenCV for video frame processing and real-time feedback.
+    - Planned the logic for detecting curls based on elbow angle thresholds.
 
 ??? info "Mention any additional resources used (blogs, books, chapters, articles, research papers, etc.)."
-<!-- Mention any additional resources, such as blogs, books, articles, or research papers, that you used. -->
-    - Write the answer here in simple bullet points. 
+    - Mediapipe official documentation.
+    - OpenCV tutorials on video processing. 
 
 
 --- 
@@ -74,129 +50,101 @@ etc. -->
 ### EXPLANATION 
 
 #### DETAILS OF THE DIFFERENT FEATURES 
-<!-- Elaborate the features as mentioned in the issues, perfoming any googling to learn about the features -->
-<!-- Describe the key features of the project, explaining each one in detail. -->
+    - Pose Estimation: Utilized Mediapipe's Pose module to detect key landmarks on the human body.
+    - Angle Calculation: Calculated angles at the elbow joints to determine curl movement.
+    - Rep Tracking: Incremented rep count when alternating between full curl and relaxed positions.
+    - Real-Time Feedback: Displayed the remaining curl count on the video feed.
 
 
 --- 
 
 #### PROJECT WORKFLOW 
-<!-- Clearly define the step-by-step workflow followed in the project. You can add or remove points as necessary. -->
 
 === "Step 1"
+    Initial setup:
+- Installed OpenCV and Mediapipe.
+- Set up a webcam feed for video capture.  
 
-    Initial data exploration and understanding:
-
-      - Start Writing from here in bullet points.
 
 === "Step 2"
+    Pose detection:
+- Used Mediapipe's Pose module to identify body landmarks.
 
-    Data cleaning and preprocessing:
-
-      - Start Writing from here in bullet points.
 
 === "Step 3"
+    Angle calculation:
+- Implemented a function to calculate the angle between shoulder, elbow, and wrist.
 
-    Feature engineering and selection:
-
-      - Start Writing from here in bullet points.
 
 === "Step 4"
+    Rep detection:
+- Monitored elbow angles to track upward and downward movements.
 
-    Model training and evaluation:
-
-      - Start Writing from here in bullet points.
 
 === "Step 5"
+    Real-time feedback:
+- Displayed the remaining number of curls on the video feed using OpenCV.
 
-    Model optimization and fine-tuning:
-
-      - Start Writing from here in bullet points.
 
 === "Step 6"
+    Completion:
+- Stopped the program when the target reps were completed or on manual exit.
 
-    Validation and testing:
-
-      - Start Writing from here in bullet points.
 
 --- 
 
 #### PROJECT TRADE-OFFS AND SOLUTIONS 
-<!-- Explain the trade-offs encountered during the project and the solutions you implemented. -->
 
 === "Trade Off 1"
-    - Describe the trade-off encountered (e.g., accuracy vs. computational efficiency).
-      - Explain how you addressed this trade-off (e.g., by optimizing hyperparameters, using a more efficient algorithm, etc.).
+    - Accuracy vs. Simplicity:
+        - Using elbow angles alone may not handle all body postures but ensures simplicity.
+        - Solution: Fine-tuned angle thresholds and added tracking for alternating arms.
 
 === "Trade Off 2"
-    - Describe another trade-off (e.g., model complexity vs. interpretability).
-      - Explain the solution (e.g., by selecting a model that balances both aspects effectively).
+    - Real-Time Performance vs. Model Complexity:
+        - Mediapipe's lightweight solution ensured smooth processing over heavier models.
 
 --- 
 
 ### SCREENSHOTS 
-<!-- Include screenshots, graphs, and visualizations to illustrate your findings and workflow. -->
-
 !!! success "Project workflow"
 
-    ``` mermaid
-      graph LR
-        A[Start] --> B{Error?};
-        B -->|Yes| C[Hmm...];
-        C --> D[Debug];
-        D --> B;
-        B ---->|No| E[Yay!];
-    ```
-
-??? tip "Visualizations and EDA of different features"
-
-    === "Image Topic"
-        ![img](images/<selected_image>.png "a title")
-
-??? example "Model performance graphs"
-
-    === "Image Topic"
-        ![img](images/<selected_image>.png "a title")
-
---- 
-
-### MODELS USED AND THEIR EVALUATION METRICS 
-<!-- Summarize the models used and their evaluation metrics in a table. -->
-
-|    Model   | Accuracy |  MSE  | R2 Score |
-|------------|----------|-------|----------|
-| Model Name |    95%   | 0.022 |   0.90   |
-| Model Name |    93%   | 0.033 |   0.88   |
+    ```mermaid  
+    graph LR  
+    A[Webcam Feed] --> F[Enter No of Biceps Reps]
+    F --> B[Mediapipe Pose Detection]  
+    B --> C[Elbow Angle Calculation]  
+    C --> D[Rep Count Decrement]  
+    D --> E[Real-Time Update on Frsame]  
+    ```  
 
 --- 
 
 ### CONCLUSION 
 
 #### KEY LEARNINGS 
-<!-- Summarize what you learned from this project in terms of data, techniques, and skills. -->
 
 !!! tip "Insights gained from the data"
-    - Write from here in bullet points
+    - Real-time video processing using OpenCV.
+    - Pose detection and landmark analysis with Mediapipe.
 
 ??? tip "Improvements in understanding machine learning concepts"
-    - Write from here in bullet points
+    - Understanding geometric computations in pose analysis.
+    - Effective use of pre-trained models like Mediapipe Pose.
 
 ??? tip "Challenges faced and how they were overcome"
-    - Write from here in bullet points
+    - Challenge: Handling incorrect postures.
+        - Solution: Fine-tuning angle thresholds.
 
 --- 
 
 #### USE CASES
-<!-- Mention at least two real-world applications of this project. -->
-
 === "Application 1"
 
-    **Headline**
-    
-      - Explain your application
+    **Personal Fitness Tracker**  
+    - Helps users track their workouts without additional equipment.  
 
 === "Application 2"
 
-    **Headline**
-    
-      - Explain your application
+    **Fitness App Integration**  
+    - Can be integrated into fitness apps for real-time exercise tracking.  

From ef1b0c590481842128e7cc146eb42aa6c66e508f Mon Sep 17 00:00:00 2001
From: that-ar-guy <mohdarahman124@gmail.com>
Date: Sun, 19 Jan 2025 18:42:56 +0530
Subject: [PATCH 3/4] title corrected

---
 docs/projects/computer-vision/counting-bicep-reps.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/projects/computer-vision/counting-bicep-reps.md b/docs/projects/computer-vision/counting-bicep-reps.md
index be3c328b..357a26b7 100644
--- a/docs/projects/computer-vision/counting-bicep-reps.md
+++ b/docs/projects/computer-vision/counting-bicep-reps.md
@@ -1,4 +1,4 @@
-# Counting Bicep Reps Using OpenCV and Mediapipe  
+# Counting Bicep Reps
 
 
 ### AIM 

From d0f8daa610d688919fcc22704ab696c08fbe8df2 Mon Sep 17 00:00:00 2001
From: Mohammed Abdul Rahman <130785777+that-ar-guy@users.noreply.github.com>
Date: Sun, 19 Jan 2025 18:56:56 +0530
Subject: [PATCH 4/4] added screenshots

---
 docs/projects/computer-vision/counting-bicep-reps.md | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/docs/projects/computer-vision/counting-bicep-reps.md b/docs/projects/computer-vision/counting-bicep-reps.md
index 357a26b7..7c8b2b34 100644
--- a/docs/projects/computer-vision/counting-bicep-reps.md
+++ b/docs/projects/computer-vision/counting-bicep-reps.md
@@ -107,6 +107,16 @@ This project does not use a specific dataset as it works with real-time video fr
 --- 
 
 ### SCREENSHOTS 
+
+1. Entering no of reps you want to perform
+   ![Screenshot 2025-01-19 184454](https://github.com/user-attachments/assets/afac56f4-c0ce-45ec-8f41-1b7effc02e5a)
+
+
+3. Performing reps
+   ![Screenshot 2025-01-19 184607](https://github.com/user-attachments/assets/667b3e10-22b0-48a0-8e9b-42c3dcfc9f66)
+
+    
+
 !!! success "Project workflow"
 
     ```mermaid