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Swarup113/README.md

About

Swarup Dewanjee is currently pursuing his Master’s degree in Computer Science and Engineering at Chittagong University of Engineering and Technology (CUET). He holds a Bachelor’s degree in Computer Science and Engineering from East Delta University (EDU). His research focuses on Artificial Intelligence in Healthcare, with a particular emphasis on leveraging AI for the early diagnosis of critical medical conditions. His interests include Bio-Informatics, Medical imaging, HCI, and NLP. He also works on real-world projects involving ML/DL-integrated web tools and decision support systems, alongside the development of web applications, websites, mobile apps, and IoT-based solutions.

Portfolio

Research Interests & Skills

Research Interests

  • Predictive Model Building
  • AI-driven Disease Detection
  • Clinical Data Analysis & Medical Imaging
  • NLP & LLMs in Healthcare
  • Human-Computer Interaction

Skills & Tools

  • Python, PyTorch, TensorFlow
  • Machine Learning & Deep Learning
  • Data Analysis & Visualization
  • C, C++, Java, JavaScript, HTML, CSS
  • LaTeX & Scientific Writing

Publications & Work

  • 4 IEEE Conference Papers Published
  • 1 Journal Article Published (Web of Science / Scopus Indexed)
  • 2 Papers are Under Review
  • 3 Works are in Progress

Goals

Interested in research collaborations and industry applications of AI in healthcare.

Socials:

FacebookInstagramLinkedInEmailResearchGateGoogle ScholarORCID

Tech Stack:

CC++CSS3LaTeXJavaScriptJavaHTML5PythonPHPNetlifyApache HiveApache HadoopApache KafkaFlaskOpenCVYarnApacheApache FlinkMySQLMongoDBFirebaseSQLiteCanvaFigmaKerasMatplotlibPandasNumPyPyTorchPlotlyscikit-learnTensorFlowGitHubGitArduinoDockerPower BiRaspberry Pi

GitHub Stats

GitHub Streak

Featured Projects

Activity Graph

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  1. NeuroTabNeuroTabPublic

    Trained NeuroTab on clinical data of migraineurs and headache patients, then integrated the model into a web-based clinical decision support system, providing prediction with XAI insight with confi…

    HTML 2

  2. NudgeNudgePublic

    A lightweight desktop health companion built with pure HTML, CSS, and JS. Features medicine reminders, hydration tracking, Pomodoro timer, and wellness nudges to keep you healthy while you work.

    JavaScript 2

  3. WatchSyncWatchSyncPublic

    WatchSync is a real-time platform for watching YouTube videos together. Create or join rooms, stay perfectly in sync, and chat live with others for a shared viewing experience.

    JavaScript 2

  4. MediQoPlusMediQoPlusPublic

    MediQo+ is a modern, lightweight web application to discover nearby healthcare facilities, pet care services, and community lost & found boards. Powered by OpenStreetMap, Leaflet, and OSRM for accu…

    JavaScript 3

  5. OmniVizOmniVizPublic

    OmniViz — Turn ML classification datasets into publication-ready charts directly in your browser. Supports CSV, JSON, and Excel. No sign-up, no servers, 100% private.

    JavaScript 2

  6. DiaResFormerDiaResFormerPublic

    A hybrid deep learning explainable framework to assess diabetes risk in women from clinical data. Every prediction comes with a full explainability report.

    HTML