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KhotChaitanya/README.md

Hello, I'm Chaitanya Khot

SDE & ML Intern


  • 👨‍💻 Currently pursuing my Master of Computer Applications (MCA)
  • 💡 Passionate about building systems and scalable solutions
  • 🌱 Actively working on ETL workflows, AI/ML projects, and Learning new Skills

🔗 Connect with Me

LinkedIn

🛠️ Languages & Tools

👨‍💻 Programming 🌐 Web Development 📊 Data & BI 🧰 Tools & IDEs

📈 GitHub Stats

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  1. AI-Powered-Eye-Sensor-Attendance-System AI-Powered-Eye-Sensor-Attendance-System Public

    A real-time, touchless attendance system built with Python and Tkinter. It uses a secure two-factor verification model (Face Recognition + Liveness Detection) to accurately and reliably mark user a…

    Python 2

  2. Sentimeter-A-Real-Time-Sentiment-Analysis-Dashboard Sentimeter-A-Real-Time-Sentiment-Analysis-Dashboard Public

    A real-time, multi-tab sentiment analysis dashboard built with Python and Streamlit to provide comprehensive insights into textual data.

    Python

  3. ETL-Pipeline-for-Region-Segmentation-and-Product-Performance-Analysis ETL-Pipeline-for-Region-Segmentation-and-Product-Performance-Analysis Public

    An ETL Project using SQL Server Integration Services (SSIS) for Region Segmentation and Sales Performance Analysis with real-world data pipelines and business insights.

  4. Fake-News-Detection-System Fake-News-Detection-System Public

    An advanced fake news detection system using NLP and comparative machine learning models (Logistic Regression vs. Random Forest) to achieve over 99% accuracy. Features dynamic model selection and a…

    Jupyter Notebook

  5. Agent-Evaluation-GAIA Agent-Evaluation-GAIA Public

    Modular reasoning agent built for GAIA, for a course evaluation using smolagents and Gemini (via LiteLLM). Features custom tools, OAuth-secured Gradio interface, and Hugging Face-integrated evaluat…

    Python

  6. Power-BI-Sales-Trend-Dashboard Power-BI-Sales-Trend-Dashboard Public

    An interactive sales trend dashboard built with Microsoft Power BI to analyze global retail data, focusing on weekly sales, top products, and regional performance.