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akshaysatyam2/README.md

Akshay Kumar

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Professional Dashboard

About Me

I am a Machine Learning Engineer with expertise in deploying real-time computer vision models on edge devices, developing ChatBots, and building Retrieval-Augmented Generation (RAG) systems for document-based question answering. My primary focus is on enhancing my knowledge and skills in Computer Vision, Natural Language Processing (NLP), and Deep Learning. I am passionate about solving complex problems and delivering exceptional results in fast-paced and dynamic environments.

GitHub Activity

GitHub Stats
Top Languages

Skills

  • Technical Skills: Computer Vision, NLP, Deep Learning, Machine Learning, Data Science
  • Languages: Python, SQL, NoSQL
  • Technologies: TensorFlow, OpenCV, YOLO, Docker, Git
  • Frameworks & Libraries: Hugging Face Transformers, PandasAI, Scikit-learn
  • Tools & Platforms: Kafka, MQTT (HiveMQ), Azure Edge, MediaPipe, GitHub

Contact

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  1. rag-model-framework rag-model-framework Public

    A flexible and open-source Retrieval-Augmented Generation (RAG) framework that allows users to process documents and ask contextually-aware questions. The repository supports .txt, .pdf, and .docx …

    Python 1

  2. Test-Cheating-Detection Test-Cheating-Detection Public

    This project uses AI and computer vision to detect academic dishonesty in exams. With YOLO for object detection and MediaPipe's pose estimation, it tracks head orientation, identifies people, and f…

    Python

  3. Traffic-Monitoring Traffic-Monitoring Public

    This repository contains project for monitoring of road traffic. It could be considered POC and many optimization are needed.

    Jupyter Notebook 8

  4. ChatWithMe ChatWithMe Public

    ChatWithMe is a conversational AI application powered by a fine-tuned GPT-2 model to chat as me. It features an interactive Streamlit-based chat interface integration. Built to deliver customized, …

    Jupyter Notebook 1

  5. CNN-vs-ResNet50-Classification CNN-vs-ResNet50-Classification Public

    This research paper provides a comparative analysis of two deep learning approaches for drone image classification: CNN and ResNet50.

    Jupyter Notebook

  6. yolo-for-detection yolo-for-detection Public

    This project focuses on object detection using YOLOv11 or other YOLO models. It automates the process of identifying objects in images, making it useful for various real-world applications like sur…

    Python