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aneelemanuel-lang/README.md

Hi, I'm Anil Emanuel πŸ‘‹

πŸŽ“ MSc Artificial Intelligence Student at the University of Surrey

I am passionate about developing trustworthy AI systems and applying Artificial Intelligence to solve real-world problems in healthcare, engineering, sustainability, and intelligent transportation. My research interests include Computer Vision, Deep Learning, Natural Language Processing, Explainable AI, Trustworthy AI, and AI Governance. I enjoy building AI solutions, conducting research, and exploring responsible AI for safety-critical applications.


πŸ”¬ Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Medical AI
  • Natural Language Processing
  • Explainable AI (XAI)
  • Trustworthy AI
  • AI Governance
  • AI Ethics
  • Time Series Forecasting

πŸš€ Featured Projects

  • 🌱 Renewable Energy Forecasting using Explainable AI
  • πŸ‘οΈ Diabetic Retinopathy Grading using Vision Transformers
  • πŸ”ͺ Fine-Grained Knife Classification using Deep Learning
  • πŸ’¬ Cross-Variety Sentiment & Sarcasm Detection
  • πŸ–ΌοΈ Visual Search & Image Retrieval
  • πŸš— Accountability-by-Design for AI-Enabled Vehicle OTA Systems
  • πŸ€– AI Governance for Socially Assistive Robots
  • πŸ“Š Social Media Marketing & Consumer Behaviour Analysis

πŸ› οΈ Technical Skills

Programming Languages

  • Python
  • SQL

AI & Machine Learning

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face Transformers
  • OpenCV
  • NumPy
  • Pandas

Development Tools

  • Git
  • GitHub
  • Jupyter Notebook
  • Google Colab

Areas of Expertise

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Medical Image Analysis
  • Natural Language Processing
  • Explainable AI (XAI)
  • Trustworthy AI
  • AI Governance
  • Statistical Analysis
  • Research Methodology

πŸ“š Academic Projects

  • Fine-Grained Image Classification
  • Medical Image Analysis
  • Computer Vision
  • Natural Language Processing
  • Explainable AI
  • AI Governance
  • Time Series Forecasting
  • Visual Search & Image Retrieval
  • Quantitative Research
  • AI for Sustainable Energy

🎯 Current Focus

  • AI Research
  • Explainable AI (XAI)
  • Vision Transformers
  • Trustworthy AI
  • Medical Image Analysis
  • AI Governance
  • Computer Vision Applications
  • Large Vision Models

πŸ“« Contact

πŸ“§ Email: aneel.emanuel@gmail.com aneel_emanuel@hotmail.com

πŸŽ“ University: University of Surrey

πŸ’Ό LinkedIn: https://www.linkedin.com/in/anil-emanuel-98947a73


⭐ Feel free to explore my repositories. I'm always interested in research collaborations, AI discussions, and open-source contributions.

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  1. accountability-by-design-ota-ai-vehicles accountability-by-design-ota-ai-vehicles Public

    Research proposal on AI accountability, traceability and explainability for over-the-air updates in safety-critical autonomous vehicles.

  2. cross-variety-sentiment-sarcasm-detection cross-variety-sentiment-sarcasm-detection Public

    Cross-variety sentiment and sarcasm detection using transformer-based language models and parameter-efficient fine-tuning.

    Jupyter Notebook

  3. diabetic-retinopathy-grading-vision-transformers diabetic-retinopathy-grading-vision-transformers Public

    Automated diabetic retinopathy grading using CNNs and Vision Transformers including DINOv2, Swin Transformer, ViT, DeiT, EfficientNet and MobileNet.

    Jupyter Notebook

  4. renewable-energy-forecasting-xai renewable-energy-forecasting-xai Public

    Explainable AI for Renewable Energy Forecasting using Machine Learning and Deep Learning

    Jupyter Notebook

  5. visual-search-image-retrieval visual-search-image-retrieval Public

    Content-based image retrieval using colour, texture, PCA descriptors and distance metrics.

    Jupyter Notebook

  6. anthropomorphic-deception-sars-governance anthropomorphic-deception-sars-governance Public

    Critical analysis of AI governance gaps in socially assistive robots for older adults, focusing on anthropomorphic deception, transparency and trustworthy AI.