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Akhila707/README.md

Hey there πŸ‘‹ I'm Akhila P V

✨ Data Scientist Β· AI & ML Researcher Β· Physics at Heart βš›οΈ

Β 

  • 🧠 Β  Exploring Quantum Machine Learning (QML) in the Life Science domain

  • 🌌 Β  Passionate about Space, Astronomy & Scientific ML

  • 🎯 Β  Achieved 98% accuracy classifying astrophysical objects from real sky data

  • πŸ“– Β  Published author β€” Pragma: A Soulful Journey of Love (ISBN: 979-8885035309)

  • πŸ’¬ Β  Ask me about Python Β· ML Pipelines Β· Computer Vision Β· LSTM Β· YOLOv8

  • πŸ“« Β  Reach me at akhilapv7077@gmail.com

  • ⚑ Β  Calm thinker by day, stargazer & writer by night 🌠



Typing SVG


πŸ”— Connect with me


πŸ› οΈ Languages and Tools

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github at a glance



⭐ "From physics to data, from curiosity to insight."

Pinned Loading

  1. Energy-Consumption-Prediction Energy-Consumption-Prediction Public

    This project explores energy consumption prediction using machine learning techniques such as Random Forest, with a focus on data preprocessing, feature engineering, and model evaluation.

    Jupyter Notebook 2

  2. Intellistock Intellistock Public

    IntelliStock is an intelligent, hybrid inventory management system that combines the power of deep learning-based time series forecasting (LSTM/BiLSTM) with real-time computer vision (YOLOv8) to au…

    Python 2

  3. Waste-Management Waste-Management Public

    This project uses **Machine Learning + Image Processing** to automatically classify waste as: - 🟒 **Biodegradable** - πŸ”΅ **Non-Biodegradable**

    Python 2

  4. Astrophysical-Object-Classification Astrophysical-Object-Classification Public

    Star Classification using Random Forest (SDSS Dataset)

    Jupyter Notebook 2

  5. Explainable-Noise--Resilient-Quantum-Machine-Learning-in-Life-Science-Domain-using-Breast-Cancer Explainable-Noise--Resilient-Quantum-Machine-Learning-in-Life-Science-Domain-using-Breast-Cancer Public

    Hybrid Classical–Quantum Neural Network for breast cancer detection from mammograms using DenseNet121 and Variational Quantum Circuits with noise robustness analysis.

    Jupyter Notebook 2