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Achievement: StarstruckAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Arctic Code Vault Contributor

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Manishms18/README.md

👋 Welcome!

  • Independent Researcher specializing in Artificial Intelligence, Machine Learning, and Data Science.
  • Focus on transparent and trustworthy AI systems that advance real-world impact.
  • Expertise in:
    • Explainable AI (XAI): improving interpretability, trust, and accountability in ML models.
    • Agentic AI Systems: designing adaptive, multi-agent orchestration for robust decision-making.
    • Forecasting & Optimization: developing leakage-free pipelines applied to aviation, energy, retail, and healthcare.
  • Dedicated to bridging theory and practice, ensuring AI innovations are impactful, socially responsible, and aligned with national priorities.

🛠️ 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-Interpretation-Lime-Shap

  • 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 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 702 245

  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. 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 16 4

  5. Air-Passengers-Time-Series-Forecasting-using-ARIMA Air-Passengers-Time-Series-Forecasting-using-ARIMA Public

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

    Jupyter Notebook 8 22

  6. Adaptive-Multi-Dimensional-Monitoring Adaptive-Multi-Dimensional-Monitoring Public

    Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems

    Python 1