Hi👋,, I’m @harshavarma02

• Welcome to my GitHub profile! I'm a passionate and driven AI/ML enthusiast with a strong foundation in computer science and a knack for creative problem-solving.

🚀 About Me

• I'm a recent graduate with a B.Tech in Computer Science and Engineering – AIML . My academic journey has equipped me with a solid understanding of core programming concepts, web development technologies, and various AI/ML tools. I'm always eager to learn new things and explore the endless possibilities of artificial intelligence.

🌐 Socials:

💻 Tech Stack:

!Python !HTML5 !Java !JavaScript !Markdown !Windows Terminal !TypeScript !R !C !CSS3 !AWS !Vercel !Netlify !Render !Bootstrap !Anaconda !FastAPI !Django !Flask !Jinja !NPM !Next JS !OpenCV !React !Streamlit !TailwindCSS !Vite !Gunicorn !MySQL !MongoDB !Postgres !Supabase !SQLite !Adobe !Adobe Lightroom !Adobe Creative Cloud !Adobe Photoshop !Adobe Lightroom Classic !Canva !Blender !Figma !Framer !Keras !Matplotlib !NumPy !Pandas !Plotly !PyTorch !scikit-learn !Scipy !TensorFlow !GitHub !GitHub Actions !Docker !Jira !Power Bi !Postman

📊 GitHub Stats:

🛠️ Technical Skills

• Programming Languages: Python (Primary), C, SQL
• Web Development: HTML, CSS, JavaScript, React (vibe coder level)
• AI/ML Tools: Scikit-learn, PyTorch, TensorFlow, Stable Diffusion
• Platforms & Tools: Kaggle, VS Code, AWS, Jupyter, Git, Postman, Boomi, MCP tools
• Currently Learning: API Development (REST & SOAP) and Boomi Integration

🤖 Projects

Here are a few of the projects I've been working on:

1. Deepfake Video Detection with Explainable AI (Ongoing)

   • Building a model that detects deepfake videos and provides transparent reasoning for its decisions via attention/saliency visualizations.
   • Focuses on enhancing interpretability and trust in AI models.

2. Business Contract Validation – Intel Collaboration (Mar 2024 – Jun 2024)

   • Developed an AI-driven system to analyze and validate business contract clauses using NLP and semantic reasoning.
   • Created in collaboration with Intel under an academic-industry partnership.

3. Sentiment Analysis of Indian Political Tweets (Apr 2024 – Aug 2024)

   • Built a model that classifies political sentiments using NLP techniques on Indian Twitter data.
   • Focused on multi-class sentiment analysis and real-time scraping.

4. Text-to-Image Generation using Stable Diffusion (Personal Project)

   • Implemented a text-to-image generation system using Stable Diffusion.
   • Worked on fine-tuning prompts and visual output quality.

🏆 Achievements & Competitions

• March Machine Learning Mania 2025 (Kaggle)
  • Ranked #1017 out of 1,727 teams.
  • Applied XG boost Algorithm to a real-world NCAA Basketball Tournament dataset.

📧 Let's Connect!

I'm always open to connecting with fellow AI/ML enthusiasts, sharing ideas, and collaborating on exciting projects. Feel free to reach out to me!