🧠 AI, ML, and QML Projects Repository

This repository contains various Machine Learning (ML), Quantum Machine Learning (QML), and AI projects that I have worked on during my undergraduate degree.

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📂 Currently Included Projects

🔬 Breast Cancer Classification (QNN vs QSVM)

• Goal: Binary classification using the Breast Cancer dataset.
• Models Used:
  • Quantum Neural Network (QNN)
  • Quantum Support Vector Machine (QSVM)
• Approach: Comparative study of QNN and QSVM performance on the same dataset.

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🧠 Parkinson's Disease Classification (QNN vs QSVM)

• Goal: Classify Parkinson's disease using relevant dataset.
• Models Used:
  • Quantum Neural Network (QNN)
  • Quantum Support Vector Machine (QSVM)
• Approach: Comparative performance analysis of both models.

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🎨 Color Detection Using OpenCV

This project allows users to detect colors in an image or a webcam stream by clicking on a region of interest. It returns the name and RGB values of the closest matching color from a predefined dataset.

✅ Project Breakdown

• Stage 1: Read and display an image using OpenCV.
• Stage 2: Detect mouse click events on the image.
• Stage 3: Extract RGB values at clicked pixel (converted from BGR).
• Stage 4: Match the RGB to known color names using a dataset (colors.csv).
• Stage 5: Display the matched color name and RGB values on the image.
• Stage 6 (Optional): Enable real-time color detection from webcam feed.

📁 Dataset Used

• File: colors.csv
• Columns:
  • color_name
  • R, G, B

📦 Modules Used

• OpenCV: For image input/output, mouse handling, and webcam access.
• Pandas: For loading and processing the color dataset.

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🔗 Repository Link

You can clone the repository using:

git clone https://github.com/AdwaithaV/AI-ML.git