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123nadeem/README.md

👋 Hi, I'm Nadeem Akhtar Qamar

AI Engineer | Machine Learning Enthusiast

🚀 About Me

I am a results-oriented AI/ML Engineer with 2+ years of experience in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. My expertise includes developing innovative solutions for real-world problems, and I have completed 20+ successful projects in these domains. I am recognized as a Top Rated Freelancer on Upwork and a Level 1 Seller on Fiverr, delivering high-quality AI solutions to clients worldwide.

  • 🌟 Top Rated Freelancer on Upwork
  • 🌟 Level 1 Seller on Fiverr
  • 🥇 Bachelor of Science in Artificial Intelligence
  • 💡 AI Enthusiast and Continuous Learner

🛠️ Technologies & Tools

Machine Learning & AI: TensorFlow, PyTorch, Keras, Scikit-learn, FastAPI, BERT, Transformers, RNN, LSTM, GANs, CNN, YOLOv8

NLP: spaCy, NLTK, Sentence Transformers, OpenAI LLMs\

Computer Vision: OpenCV, YOLOv8, CNN, Semantic Segmentation, Image Classification, Object Detection

API Development: Flask, FastAPI, Django REST Framework\

Data Engineering: Data Cleaning, Feature Engineering, Dimensionality Reduction, Feature Synthesis\

Cloud & Edge Deployment: AWS, Microsoft Azure, NVIDIA Jetson Nano, Serverless Architectures

Programming Languages: Python, R, JavaScript, C++, SQL

Data Visualization: Matplotlib, Seaborn, Plotly, Tableau

DevOps Tools:
Docker, Git, GitHub

🌟 Featured Projects:

Wound Stage Detection Using LLM

  • Developed a wound stage detection system using Large Language Models (LLMs) for medical diagnosis.

Real-Time Human Emotion Detection

  • Implemented real-time emotion detection using advanced deep learning models for facial analysis and emotion recognition.

Facial Recognition

  • Built a facial recognition system for secure and accurate identification using computer vision techniques.

AI App Analysis and Feature-Based Recommendation System

  • Designed an AI-based system to analyze apps and recommend features using machine learning models and LLMs for personalized user experiences.

Netflix Exploratory Data Analysis

  • Conducted an in-depth exploratory data analysis of Netflix datasets to uncover trends, patterns, and insights for streaming content and user behavior.

Medical Chatbot Using LLaMA2

  • Developed a medical chatbot utilizing LLaMA2 to provide healthcare-related answers and recommendations based on medical literature.

📊 GitHub Stats:

GitHub Stats

🏆 Achievements:

  • 🏅 Top Rated Freelancer on Upwork
  • 🏅 Level 1 Seller on Fiverr
  • 🥇 Bachelor of Science in Artificial Intelligence from Air University, Islamabad

💬 How to reach me:

Pinned Loading

  1. Wound_Stage_Detection__Using_LLM Wound_Stage_Detection__Using_LLM Public

    This project, Wound Stage Detection using LLM (Large Language Models), applies advanced language models to analyze medical data and accurately classify the stages of wounds. By interpreting medical…

    Jupyter Notebook 2

  2. Real-Time-Human-Emotion-Detection Real-Time-Human-Emotion-Detection Public

    This project implements real-time emotion detection using a webcam feed and a YOLOv8 classification model. The model is trained to classify seven basic emotions: Angry, Disgust, Fear, Happy, Neutra…

    Jupyter Notebook 2

  3. Wheet_Grain_Prediction_and_Analysis_on_Indian_Dataset Wheet_Grain_Prediction_and_Analysis_on_Indian_Dataset Public

    This project, Wheat Grain Prediction and Analysis, focuses on analyzing Indian wheat grain data to predict crop yields and quality. By leveraging statistical techniques and machine learning, it ide…

    Jupyter Notebook 2

  4. Age-and-Sex-prediction-using-CNN-and-Yolov8 Age-and-Sex-prediction-using-CNN-and-Yolov8 Public

    This project, **Age and Sex Prediction using CNN and YOLOv8**, utilizes CNNs for feature extraction and YOLOv8 for real-time prediction of age and sex from images. By accurately analyzing facial fe…

    Jupyter Notebook 3

  5. Facial-Recognition Facial-Recognition Public

    This project implements facial recognition technology using advanced image processing techniques. It captures and analyzes facial features to identify or verify individuals in real-time. The system…

    Python 1

  6. AI_App_Analysis_and_Feature_Based_Recommendation_Tool_ AI_App_Analysis_and_Feature_Based_Recommendation_Tool_ Public

    This project provides an AI app analysis and feature-based recommendation tool. Users can input specific features or technologies (e.g., "machine learning") to discover top AI apps from the dataset…

    Jupyter Notebook 1