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Achievement: YOLOAchievement: Arctic Code Vault Contributor

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Achievement: YOLOAchievement: Arctic Code Vault Contributor

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Manishms18/README.md

👋 Welcome!

I am an Independent Researcher specializing in Artificial Intelligence, Machine Learning, and Data Science.
My work emphasizes:

  • Explainable AI (XAI) – advancing trust and interpretability in ML models.
  • Agentic AI Systems – resilient orchestration of multi-agent workflows.
  • Forecasting & Optimization – leakage-free pipelines for aviation, energy, retail, and healthcare.

I aim to bridge theory and practice, making AI systems transparent, impactful, and socially responsible.

🛠️ Featured Projects

🧠 Sign Language Interpreter using Deep Learning

  • Contributed to a vision-driven accessibility tool translating sign language into text.
  • Improved CNN pipeline for robustness across conditions.

Repo Card

Stars Forks Issues

📊 Time Series Forecasting with XGBoost & ARIMA

  • Built a unified pipeline combining statistical and ML models.
  • Integrated SHAP, LIME, and Permutation Importance for transparent results.

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  1. Time-Series-Interpretation-Lime-Shap Time-Series-Interpretation-Lime-Shap Public

    Interpretable time-series forecasting on the AirPassengers dataset using ARIMA, XGBoost, LIME, and SHAP

    Jupyter Notebook 1

  2. harshbg/Sign-Language-Interpreter-using-Deep-Learning harshbg/Sign-Language-Interpreter-using-Deep-Learning Public

    A sign language interpreter using live video feed from the camera.

    Python 663 241

  3. Identify-Diabetic-Patient-Readmission Identify-Diabetic-Patient-Readmission Public

    MACHINE LEARNING : Classified the hospital re-admission probability of a DIABETIC patient by using appropriate Data Science techniques such as Feature Engineering and Model Deployment

    Jupyter Notebook 1 1

  4. UNICEF-Mortality-rate-analysis UNICEF-Mortality-rate-analysis Public

    DATA ANALYSIS : Found Factors Causing Under 5 Mortality, Trend Analysis and Recommendations for Reducing Under-5 Mortality Rate at Country level

    Jupyter Notebook 1

  5. Audit-Risk-Prediction-for-a-Financial-Firm Audit-Risk-Prediction-for-a-Financial-Firm Public

    MACHINE LEARNING : Audit risk analysis using multiple firms' historical data using Regression algorithms like KNN, Kernelized SVM, Decision Tree, Random Forest etc.

    Jupyter Notebook 15 4

  6. Air-Passengers-Time-Series-Analysis Air-Passengers-Time-Series-Analysis Public

    TIME SERIES ANALYSIS : Forecasted number of passengers for next 10 years of airlines using ARIMA model in python

    Jupyter Notebook 8 22