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  • Gwalior, Madhya Pradesh
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CHETAN-KAURAV/README.md

Hi πŸ‘‹, I'm Chetan Kaurav

AI Researcher β€’ Machine Learning Engineer β€’ Computer Vision Developer

Typing SVG

πŸš€ About Me

I'm a Computer Science undergraduate passionate about building intelligent systems that solve real-world problems.

My work spans across:

🧠 Artificial Intelligence
πŸ€– Machine Learning
πŸ‘οΈ Computer Vision
πŸ“Š Deep Learning
🌍 Geospatial AI
πŸ“ˆ Financial NLP
πŸ₯ Healthcare AI

Currently, I'm exploring advanced machine learning architectures, multimodal AI systems, reinforcement learning, and interpretable deep learning models.


πŸ”¬ Research Experience

πŸ› IISER Mohali β€” Summer Research Intern

Worked on Geospatial Machine Learning for Flood Risk Prediction using heterogeneous environmental datasets.

  • Developed hybrid ML models using Random Forest, XGBoost, and SVM
  • Designed terrain-aware spatial feature engineering pipelines
  • Built spatial cross-validation strategies for robust model evaluation
  • Reduced critical-region misclassification below 5%
  • Worked with GeoPandas, GDAL, ArcGIS Pro, QGIS, and Scikit-Learn

πŸ“š Publications & Research

πŸ“ Decoding Financial Sentiments: A Comparative Analysis of Machine Learning Models

Presented at ISCMCTR 2025 and accepted for publication in MITS Journal 2026.

πŸ₯ AI for Early Chronic Disease Detection

Ongoing research focused on:

  • Multimodal physiological signal analysis
  • Explainable AI
  • Temporal deep learning models
  • EEG-based biomarker discovery

πŸ›  Tech Arsenal

Languages

Python C C++ SQL

Machine Learning & AI

PyTorch TensorFlow Scikit Learn OpenCV

Tools

Git Docker Jupyter Linux


πŸš€ Featured Projects

πŸ€– Vision-Based Autonomous Navigation using Deep Reinforcement Learning

Built a CNN-DQN agent capable of autonomous navigation using visual observations.

Highlights

  • Deep Q Networks (DQN)
  • Experience Replay
  • Target Networks
  • End-to-End Perception to Action Learning
  • Achieved reward score of 0.93

πŸ‘ Scene Independent Change Detection

Deep learning pipeline for foreground motion segmentation using explicit temporal differencing.

Highlights

  • ResNet18 Encoder-Decoder
  • Temporal Attention
  • Self-Supervised Learning
  • Edge-Aware Supervision
  • Computer Vision Research Pipeline

🌍 Sentinel-2 Land Cover Classification

End-to-end Earth Observation and Remote Sensing pipeline.

Highlights

  • Satellite Image Processing
  • Spatial Feature Engineering
  • ResNet-based Classification
  • 87% Classification Accuracy

🎯 Current Focus

current_focus = {
    "Research": [
        "Multimodal AI",
        "Computer Vision",
        "Medical AI",
        "Explainable AI"
    ],

    "Learning": [
        "LLMs",
        "Advanced Deep Learning",
        "MLOps",
        "AI Systems Design"
    ],

    "Building": [
        "Research Projects",
        "Open Source Contributions",
        "Production ML Systems"
    ]
}

πŸ“Š GitHub Analytics


πŸ”₯ Contribution Streak


πŸ† Achievements

πŸ₯‡ Research Intern @ IISER Mohali

πŸ“– Research Publication Accepted (MITS Journal 2026)

🏁 Finalist β€” AI Hackathon IIT Kharagpur

🏁 Finalist β€” NLP Hackathon IIT Kharagpur

🏁 Finalist β€” Finance AI Hackathon IIT Kanpur

πŸŽ“ Oracle Generative AI Professional Certified


🌐 Connect With Me


"Building AI that doesn't just predict the future β€” but helps shape it."

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  1. Scene_Independent_Change_Detection Scene_Independent_Change_Detection Public

    Scene-independent change detection using explicit temporal differencing and deep segmentation models for foreground motion localization.

    Python

  2. Vision_Based_Autonomous_Navigation_drl Vision_Based_Autonomous_Navigation_drl Public

    Vision-based autonomous navigation using Deep Reinforcement Learning (CNN-DQN) from raw visual observations.

    Python

  3. Health_Sensing_Pipeline Health_Sensing_Pipeline Public

    Automated detection and visualization of sleep breathing irregularities using physiological signals (airflow, thoracic, SpOβ‚‚) collected from multiple participants. Includes signal filtering, datase…

    Python

  4. HydraNet HydraNet Public

    Terrain-aware multimodal GeoAI framework for flood segmentation using Sentinel-1 SAR imagery and deep learning.

    Python

  5. Earth_Observation_Pipeline Earth_Observation_Pipeline Public

    End-to-end Earth Observation pipeline for satellite data processing, geospatial analytics, environmental monitoring, and automated visualization.

    HTML

  6. Syntax-Surge-01/IITK-Finance-AI Syntax-Surge-01/IITK-Finance-AI Public

    IITK Finance AI Hackathon

    Jupyter Notebook