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Achievements

Achievement: Pull SharkAchievement: Pair Extraordinaire

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Padmajakachare1911/README.md
Padmaja Kachare - Training in Progress

GitHub Followers LinkedIn Email Portfolio Resume

📄 Model Description

PadmajaAI is an AI & Data Science model trained on real-world projects, research, and open-source collaboration.

Specializations: Machine Learning • Deep Learning • NLP • Generative AI • Data Engineering

📊 Performance Metrics

Projects Built Internships Completed Open Source Contributions

GitHub Stats Top Languages
GitHub Streak

⚙️ Architecture (Tech Stack)

🔭 Research & Learning

Active Focus:

  • 🧠 Generative & Agentic AI
  • 🎯 NLP & Career Recommendation Systems

Learning Pipeline:

  • Machine Learning & Deep Learning
  • [~] Generative AI & AI Agents (In Progress)
  • MLOps & Distributed AI (Queued)

📜 Model Changelog

🚀 Current Release: PadmajaAI v2.6

  • ✔ Active Open Source Contributor
  • ✔ Agentic AI Experiments
View Previous Releases

v2.5: Internship Experience • Real-Time Translation
v2.0: Career Prediction • Deep Learning Projects
v1.5: Diploma in AI/ML • First ML Models
v1.0: Started Python • Data Structures

System Generated • Continuously Training

Pinned Loading

  1. Detection-of-Autistic-Spectrum-Disorder-Classification Detection-of-Autistic-Spectrum-Disorder-Classification Public

    Jupyter Notebook

  2. Logic-Building-using-python Logic-Building-using-python Public

    A simple English-to-Hindi word translator using machine learning, with a logic constraint: words starting with vowels are only translatable between 9 PM and 10 PM. It features a GUI for user intera…

    Jupyter Notebook

  3. Predicting-Customer-Purchases-with-Decision-Trees Predicting-Customer-Purchases-with-Decision-Trees Public

    Python

  4. Sentiment-Analysis-of-Social-Media-Data Sentiment-Analysis-of-Social-Media-Data Public

    Python

  5. Traffic-Accident-Analysis-Hotspot-Visualization Traffic-Accident-Analysis-Hotspot-Visualization Public

    Python

  6. Visualizing-Population-Distribution Visualizing-Population-Distribution Public

    Python