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urmikanrar2003-uk/README.md

👋 Hi, I'm Urmi Kanrar

🎓 M.Sc. Artificial Intelligence & Machine Learning @ IIIT Lucknow
🤖 Aspiring AI / ML Engineer

I work on end-to-end Machine Learning and Deep Learning projects, with hands-on experience in data analysis, model development, evaluation, and deployment.
My interests include Computer Vision, Healthcare AI, and applied ML systems.

🧠 Technical Skills

  • Machine Learning: Regression, Classification, Tree-based Models, Ensemble Methods
  • Deep Learning: ANN, CNN, RNN, LSTM, GRU, Transfer Learning (TensorFlow / PyTorch, Keras)
  • Computer Vision: Image & Signal Processing, Feature Extraction
  • Data Science & Statistics: EDA, Feature Engineering, Hypothesis Testing, Probability, Statistical Inference
  • Data & Databases: SQL, Data Cleaning
  • MLOps & Tools: Git, Docker, Streamlit, MLflow, DVC, AWS, MongoDB, HuggingFace, CI pipeline, Model Evaluation & Deployment
  • GenAI: LangChain, RAG, Chatbot building

🚀 Projects

🔹 Heart Murmur Detection System

🔹 Social Video Audience Sentiment Intelligence

  • Built an end-to-end YouTube sentiment analysis pipeline (Positive, Neutral, Negative)
  • Collected data using YouTube Data API v3 and structured it for modeling
  • Experimented with Naive Bayes, CatBoost, XGBoost, and Stacking Ensembles
  • Improved performance using DistilBERT for contextual understanding
  • Developed a Chrome Extension for sentiment insights, word clouds, and trend visualization

🔗 https://github.com/urmikanrar2003-uk/social-video-audience-sentiment-intelligence

🔹 IndiGo Airline RAG Chatbot

  • Built an end-to-end RAG pipeline using LangChain + ChromaDB
  • Implemented document ingestion (PDF + CSV), chunking, and embeddings
  • Enabled context-aware Q&A using LLM-based retrieval
  • Deployed with Streamlit conversational UI

🔗 https://github.com/urmikanrar2003-uk/Indigo_airlines_RAG_chatbot

🔹 IDEAS-TIH Internship Project (Road Accident Cause Identification & Severity Prediction)

  • Built ensemble models using Random Forest, Logistic Regression, SVM, XGBoost
  • Performed time series forecasting using SARIMA and GRU
  • Focused on accident cause analysis and severity prediction

🔗 https://github.com/urmikanrar2003-uk/IDEAS-TIH-internship

📜 Certifications

📊 GitHub Activity

⭐ Open to AI / ML Engineer and Data Science opportunities

Pinned Loading

  1. Heart_murmur_project Heart_murmur_project Public

    A CNN-LSTM based deep learning system for heart sound classification (Normal, Murmur, Artifact) with a Streamlit UI, real-time waveform visualization, and Hugging Face model deployment

    Jupyter Notebook 1

  2. IDEAS-TIH-internship IDEAS-TIH-internship Public

    Forked from N125-ui/GOOGLE-COLAB

    When Roads Speak : Unveiling the Pattern of Road Accidents in India

    Jupyter Notebook 1

  3. Image-processing-computer-vision- Image-processing-computer-vision- Public

    Image processing computer vision practical labs

    Python

  4. MLOPS-experiments-with-MLFlow MLOPS-experiments-with-MLFlow Public

    This repo has a complete demonstration of performing experiment tracking using Mlflow

    Python

  5. social-video-audience-sentiment-intelligence social-video-audience-sentiment-intelligence Public

    "Social Video Audience Sentiment Intelligence" system that automates the analysis of public opinion on YouTube,built a chrome extension that gives summary on youtube top comments sentiment classes,…

    Jupyter Notebook 1

  6. Indigo_airlines_RAG_chatbot Indigo_airlines_RAG_chatbot Public

    ✈️ AI-powered RAG chatbot for IndiGo Airlines — built with LangChain, ChromaDB & GPT-4o-mini. Ask about flights, incidents, policies & more.

    Python 1