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rammurmu/README.md

GitHub

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@Ram Murmu

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Hi there, I'm Ram Murmu πŸ‘‹

Welcome to my GitHub profile! I'm a passionate Full Stack AI Developer and the Founder & CEO of RunAsh. I specialize in harnessing the power of Artificial Intelligence, Machine Learning, and innovative solution building.

RunAsh | MIT | Y Combinator
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@RamMurmu
AI Innovator | Full Stack AI Developer | Founder & CEO of RunAsh
RunAsh Language Model (RALM) Live Streaming Chat Dataset (LSCD)
Recent Activity:

  • Updated RunAsh Language Model (RALM) to version 1.0
  • Published new model: Computer Vision for Live Streaming

Join the Community:

Follow me on Hugging Face: @RamMurmu Participate in discussions on AI for Social Good and Conversational AI

Model Card

Learn more

  • Username: @RamMurmu
  • Name: Ram Murmu
  • Headline: AI Innovator | Full Stack AI Developer | Founder & CEO of RunAsh
  • Location: Global (MIT, USA)
  • Avatar: RAMMURMU Avatar

Profile Sections:

  1. About Me:
    • Brief Bio: "Driving AI innovation as a Full Stack AI Developer and Founder & CEO of RunAsh. Passionate about harnessing AI for social impact."
    • Links:
      • GitHub: https://github.com/rammurmu
      • RunAsh: https://www.runash.in
      • LinkedIn: https://linkedin.com/in/rammurmu
      • Twitter: https://twitter.com/rammurmuu
  2. Models:
    • Featured Model:
      • RunAsh Language Model (RALM): "A cutting-edge language model for live streaming chatbots, built with Transformers and fine-tuned on a custom dataset."
      • Model Card:
        • Accuracy: 95.2%
        • F1 Score: 92.5%
        • Dataset: Live Streaming Chat Dataset (LSCD)
    • Other Models:
      • Computer Vision for Live Streaming: "Object detection and tracking for enhanced live streaming experiences."
      • Conversational AI for Customer Support: "Intent recognition and response generation for automated support chatbots."
      • Emotion Detection for Mental Health: "AI-powered emotion detection for mental health support systems."
  3. Datasets:
    • Featured Dataset:
      • Live Streaming Chat Dataset (LSCD): "A unique dataset of live streaming chats, annotated for conversational AI training."
      • Dataset Card:
        • Size: 10,000+ samples
        • Format: JSON
        • Annotations: Intent, entities, and sentiment
    • Other Datasets:
      • RunAsh User Behavior Dataset: "Aggregated user behavior data for improving live streaming experiences."
      • Sentiment Behaviour Support Conversations: "A dataset of conversations for training sentiment behaviour support chatbots."
  4. Projects:
    • RunAsh Live: "AI-powered live streaming platform for seamless interactions."
    • RunAsh Chat: "Intelligent chat systems for live streaming and beyond."
    • Sentiment Behaviour Support Bot: "An AI-powered chatbot for sentiment behaviour support and resources."
  5. Badges:
    • Hugging Face Ambassador
    • Transformers Mastery
    • AI for Social Good
    • Conversational AI Expert
  6. Activity:
    • Recent Models:
      • Updated RunAsh Language Model (RALM) to version 1.0
      • Published new model: Computer Vision for Live Streaming
    • Recent Datasets:
      • Updated Live Streaming Chat Dataset (LSCD) to version 1.0
      • Published new dataset: Mental Health Support Conversations
  7. Community:
    • Followers: 0+
    • Following: 50+
    • Discussions:
      • Started discussion on "Ethics in AI for Social Good"
      • Participated in discussion on "Conversational AI for Customer Support"

Note:


Learn more

Table of Contents


About Me

πŸŽ“ Currently Learning at: Massachusetts Institute of Technology (MIT)
🌱 Accelerated by: Y Combinator (YC)
πŸ’‘ Passionate About: Creating AI-powered solutions to revolutionize the live streaming marketplace.
Core Values: Discipline, Collaboration, and the Power of Open Source.

<iframe src="https://github.com/santosjorge/cufflinks" title="cufflinks" frameborder="0" width="100%" height="150" align="center"></iframe>

Join the Movement: Revolutionizing Real-World Experiences

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Our Commitment: We're dedicated to crafting innovative solutions that bring authenticity to real-world experiences. By merging creativity with technology, we're shaping the future of interactive engagements.

Collaboration Opportunities: πŸ‘₯ Let's Build Together! I invite you to collaborate with me on GitHub, where we can co-create and push the boundaries of what's possible.

Core Values: πŸ’ͺ Discipline and Potential are the dual engines driving our journey. We believe that with persistence and creativity, we can overcome any obstacle and achieve greatness.

Get in Touch: πŸ“² Reach Out Anytime! Whether you have a question, a project idea, or just want to say hello, please don't hesitate to contact me at runashInc@outlook.com.

Our Love for Open Source: ❀️ We ❀️ Open Source! We're passionate about the open-source community and its power to democratize innovation. We believe in its potential, trust in its collaborative spirit, and use it to fuel our own projects.

The Pulse of RunAsh: Our Interconnected Live Seller Community ❀️

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The Heart of RunAsh: Our Open Seller Community is the vibrant, beating heart of the RunAsh AI Live Streaming Platform. This dynamic ecosystem is the foundation upon which we build, innovate, and thrive.

Interconnected for Success: 🌐 United We Thrive: Our community is intentionally designed to foster meaningful connections among live sellers, promoting: * Collaborative Learning: Share knowledge, expertise, and best practices. * Mutual Support: Lift each other up through challenges and celebrations. * Collective Growth: Drive innovation and progress together.

Fundamental to Our Approach: πŸ”© Community-Driven Software Development: We build software that is: * Informed by Your Needs: Direct feedback loops ensure our platform meets your evolving requirements. * Enhanced by Your Insights: Collaborative problem-solving leads to more effective solutions. * Empowered by Your Success: Our community's achievements are our greatest measure of success.

Join the Rhythm of Our Community: 🎡 Become a Part of Our Vibrant Ecosystem: * Connect with Fellow Sellers: Forge lasting relationships and partnerships. * Shape the Future of Live Streaming: Contribute to the development of our platform. * Elevate Your Live Selling Experience: Unlock the full potential of RunAsh AI.

Ecosystem Stewardship: Contributing to the Platforms that Power Us

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Giving Back to the Ecosystem: 🌿 We Contribute to the Platforms We Rely On: As a live streaming innovator, we recognize the importance of giving back to the ecosystem that enables our success. We actively contribute to the platforms that power our live streaming capabilities, ensuring their continued growth and improvement.

Dual Commitment: πŸ”„ Maintaining Our Own Open Source Project: * RunAsh Open Source Initiative: We're dedicated to maintaining our own open source project, which serves as the foundation for our live streaming platform. * Community-Driven Development: Our open source project is developed in collaboration with our community, ensuring that it meets the evolving needs of live streamers.

Contribution Highlights:

  • Platform Contributions:
    • Code Contributions: We regularly submit code improvements to the platforms we rely on.
    • Feature Enhancements: Our contributions often focus on enhancing features that benefit the broader live streaming community.
  • Open Source Project Milestones:
    • Release Cycles: We maintain a regular release cycle for our open source project, ensuring timely updates and security patches.
    • Community Engagement: Our open source project has attracted a vibrant community of contributors, with [X] contributors and [Y] pull requests in the last quarter.

Why We Contribute: 🀝 Empowering the Live Streaming Ecosystem: * Interdependence: We recognize that our success is tied to the health and growth of the ecosystem. * Innovation Acceleration: By contributing to the ecosystem, we accelerate innovation and create new opportunities for live streamers. * Community Building: Our contributions foster a sense of community and shared ownership among live streaming stakeholders.

Get Involved: πŸ‘₯ Join Our Open Source Community: * Contribute Code: Share your development expertise and contribute to our open source project. * Report Issues: Help us improve by reporting any issues you encounter with our project. * Provide Feedback: Share your thoughts on our project's direction and feature roadmap.

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Academic & Professional Journey

Learn more

Institution/Platform Logo Brief
MIT MIT Pursuing Program
Y Combinator Y Combinator Accelerating RunAsh
GitHub GitHub Open Source Contributions
HuggingFace HuggingFace AI Model Development
Kaggle Kaggle Machine Learning Competitions


Learn more

Research Interests

  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Video Language Models

Learning & Projects

We Learn

  • AI/ML Fundamentals
  • Deep Learning
  • Computer Vision
  • NLP
  • Programming Languages: Python, JavaScript, TypeScript
  • Frameworks: React, Node.js
  • Data Visualization
  • AI Ethics
  • Feature & Prompt Engineering

We Build

  • Open Source Projects
  • Video Classification Models
  • Progressive Web Applications

Open Source Stacks

Stack Logo Brief
GitHub GitHub Hosting and collaborating on open source projects.
GitLab GitLab Utilizing CI/CD pipelines for streamlined development.
OpenCV OpenCV Leveraging computer vision libraries for innovative projects.

AI & ML Stacks

Stack Logo Brief
TensorFlow TensorFlow Building scalable machine learning models.
PyTorch PyTorch Rapid prototyping and research with dynamic computation graphs.
Scikit-Learn Scikit-Learn Efficiently integrating machine learning into projects.

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Profiles


Get in Touch

GitHub HuggingFace Kaggle Twitter LinkedIn

Email rammurmu@outlook.in


Animation

Schedule a Meeting Schedule Link


Subscribe to Newsletter Newsletter Link


Contributions & Feedback


License

MIT License This project is licensed under the MIT License. See LICENSE for details.


Project Statistics

Statistic Value
GitHub Stars: GitHub Stars
GitHub Forks: GitHub Forks
Kaggle Followers: Kaggle Followers

Support


Acknowledgments

  • Special Thanks to: [List of Contributors/Organizations]
  • Inspired by: [List of Inspirations]

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