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Achievement: Pull SharkAchievement: QuickdrawAchievement: YOLO

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ashhwiithac22/README.md

Hi 👋, I'm Ashwitha C

Data Analyst • AI & ML Enthusiast • Developer • Cloud & DevOps Enthusiast

📌 Professional Summary

I am passionate about Data Analytics, Machine Learning, Artificial Intelligence, Generative AI, and Full Stack Development, with a focus on strengthening skills in Cloud Computing and DevOps for scalable application development.

🔗 Find Me online

🛠️ Technical Skills

🚀 Development Activity

📈 Contribution Graph

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  1. Complete-CI-CD-pipeline-for-drone-defense-system Complete-CI-CD-pipeline-for-drone-defense-system Public

    This project implements a complete CI/CD pipeline. The pipeline automates the entire software delivery process from code commit to production deployment.

    Jupyter Notebook 1

  2. Adversarial_Patch_Detection_for_Military_Drones Adversarial_Patch_Detection_for_Military_Drones Public

    A system that detects adversarial patches designed to trick AI vision systems in military drones and alerts operators to prevent incorrect decisions.

    Jupyter Notebook 3

  3. Financial-AI--Analytics-Platform Financial-AI--Analytics-Platform Public

    The Financial Analytics AI Platform enables traders, analysts, and finance enthusiasts to analyze options, calculate implied volatility, access live financial data, and receive AI-powered financial…

    Python 1

  4. SafetyTrack_MobileApp SafetyTrack_MobileApp Public

    SafetyTrack is an automatic journey monitoring app that tracks a user’s travel and sends location updates every 2 minutes to selected contacts. It allows users to choose their safest contacts for e…

    Java 1

  5. lifelink-bloodbank lifelink-bloodbank Public

    LifeLink is a comprehensive full-stack web application designed to revolutionize blood bank management by creating a digital ecosystem that connects blood donors, hospitals, and administrators in r…

    JavaScript 1

  6. phishing-url-detector-application phishing-url-detector-application Public

    The project successfully demonstrated the ability to classify URLs accurately, helping to protect users from falling victim to phishing attacks. It highlights the practical application of machine l…

    Python 1