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sweety-mahale/README.md

Hey 👋, I'm Sweety Mahale!

github linkedin

✨ Glad to see you here!

I’m an AI/ML Engineer passionate about building intelligent systems that solve real-world problems. With expertise in machine learning, deep learning, and data-driven solutions, I design models that not only analyze and predict but also adapt and evolve.

I specialize in developing end-to-end solutions—from data collection, cleaning, and visualization to model development, deployment, and cloud scaling. My work spans NLP, computer vision, and agentic AI, with a strong focus on delivering efficient, reliable, and production-ready applications.


🛠️ Languages & Tools

Python C++ React Node.js Express.js MongoDB MySQL JavaScript HTML5 CSS3 Tailwind CSS TensorFlow Keras OpenCV Flask Git

📫 How to reach me

⭐️ From Sweety Mahale

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  1. EquityLens EquityLens Public

    An internal AI Assistant that lets analysts query corporate financial documents in plain English and receive accurate, source-cited answers.

    Python

  2. Multi-Agent-AI-News-Curation-System Multi-Agent-AI-News-Curation-System Public

    A multi-tenant, agentic platform that aggregates, filters, and curates tech news and video transcripts from YouTube, blog and RSS feeds. The system scores and ranks incoming articles against person…

    Python

  3. Crypto-Flash-Crash-Predictor Crypto-Flash-Crash-Predictor Public

    Real-time cryptocurrency flash crash prediction platform using Online Machine Learning that streams live market data, engineers statistical features, continuously updates an Adaptive Random Forest …

    Jupyter Notebook

  4. Loan-Sanction-Prediction-System Loan-Sanction-Prediction-System Public

    The Loan Sanction Prediction System is a production-grade, end-to-end machine learning application that automates the bank loan approval process. It uses a dual-model architecture : one model decid…

    Jupyter Notebook 1

  5. NITT_ChatBot NITT_ChatBot Public

    Jupyter Notebook

  6. Lung-nodule-segmentation Lung-nodule-segmentation Public

    Deep Learning application using U-Net architecture for automatic semantic segmentation of lung nodules from CT scan images. Features an interactive Flask web UI that processes input scans to genera…

    Jupyter Notebook