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kainatmoin/README.md

Kainat Moin Banner

Hello , I'm Kainat Moin

Artificial Intelligence Student
Machine Learning • Computer Vision • Deep Learning

💫 About Me

  • 🎓 BS Artificial Intelligence Student at Dawood University of Engineering & Technology
  • 📍 Karachi, Pakistan
  • 🤖 Passionate about Machine Learning, Computer Vision & Deep Learning
  • 🚀 Building practical AI solutions for real-world applications
  • 💼 Open to AI Internships & Full-Time Opportunities

🚀 Featured Projects

Project Description
🤖 AI Fitness Trainer Offline AI Fitness Trainer using MediaPipe, TensorFlow Lite, OpenCV & LSTM
🧠 NeuroFlow AI AI-powered Career Assistant developed for NED Proxion 2026
🌱 Plant Disease Detection Deep Learning model for plant disease classification
♻️ Waste Classification CNN-based waste image classification using TensorFlow

🛠 Tech Stack

📊 GitHub Statistics

📈 Contribution Graph

🏆 Certifications

  • Artificial Intelligence
  • Web Development
  • AI Got Talent
  • NED Proxion 2026

🌐 Connect With Me

Learning today. Building intelligent solutions for tomorrow.

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  1. Plant-Disease-Classification-Using-Deep-Learning Plant-Disease-Classification-Using-Deep-Learning Public

    Deep Learning based Plant Disease Classification using CNN and MobileNetV2 with 38 plant disease classes.

    Jupyter Notebook

  2. Tweet-Emotion-Classifier Tweet-Emotion-Classifier Public

    Multi-label Tweet Emotion Classification using TF-IDF, Ensemble Machine Learning, and Streamlit.

    Python

  3. Human-Pose-Estimation-Activity-Classification Human-Pose-Estimation-Activity-Classification Public

    AI-powered Human Pose Estimation and Activity Classification using MediaPipe Tasks API, OpenCV, and Rule-Based Analysis.

    Jupyter Notebook

  4. Smart-Waste-Classification Smart-Waste-Classification Public

    Deep learning-based waste image classification using MobileNetV2, PCA, and K-Means clustering for intelligent waste management.

    Jupyter Notebook

  5. Bank-Marketing-Classification Bank-Marketing-Classification Public

    Machine learning classification of the UCI Bank Marketing dataset using Decision Tree, Naive Bayes, SVM, and Bagging ensemble methods.

    Jupyter Notebook

  6. Music-Player-Web-App Music-Player-Web-App Public

    A responsive web-based music player built with HTML, CSS, and JavaScript featuring playlist support, playback controls, and audio progress tracking.

    JavaScript