Skip to content
View kompalwargangotri's full-sized avatar

Achievements

Achievement: YOLO

Achievements

Achievement: YOLO

Block or report kompalwargangotri

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kompalwargangotri/README.md

Hi, I'm Gangotri Kompalwar 👋

About Me

🎓 Final-Year B.Tech student at MIT Academy of Engineering, Pune
💡 Interested in Artificial Intelligence and Machine Learning
🐍 Working with Python, Machine Learning and Deep Learning
🤖 Currently exploring Generative AI, LangChain and LangGraph
🎯 Seeking AI/ML internship and placement opportunities

Technical Skills

  • Programming: Python, SQL, C++
  • AI/ML: Machine Learning, Deep Learning, NLP
  • Generative AI: LangChain, LangGraph, RAG
  • Frameworks: Scikit-learn, TensorFlow, PyTorch, FastAPI
  • Tools: Git, GitHub, Jupyter Notebook, Google Colab
  • Other: Flutter, Arduino, ESP8266

Featured Projects

🎓 GramNet AI – Offline AI Tutor

Offline multilingual AI tutor with voice-enabled learning, RAG, multilingual support and adaptive quizzes.

Technologies: Python, NLP, RAG, TinyLLaMA, FastAPI, Flutter

🩺 NephroPredict – CKD Prediction

Machine-learning system for early detection of chronic kidney disease using SMOTE and multiple classification models.

Technologies: Python, Scikit-learn, SMOTE, Random Forest, Flask

🔐 Automated Video KYC and AML Detection

Automated compliance framework combining person detection, OCR, facial verification and anomaly detection.

Technologies: Python, YOLOv8, Tesseract OCR, DeepFace, Isolation Forest

⚡ Energy Consumption Prediction

AI-based system for forecasting and optimizing energy consumption using machine-learning and deep-learning techniques.

Technologies: Python, Machine Learning, Deep Learning, Pandas, Scikit-learn

Currently Learning

  • Generative AI and RAG
  • LangChain and LangGraph
  • FastAPI and Docker
  • MLOps and cloud fundamentals

Connect With Me

⭐ Feel free to explore my repositories and connect with me for AI/ML opportunities and collaborations.

Pinned Loading

  1. gramnet-ai-tutor gramnet-ai-tutor Public

    Offline-first multilingual AI tutor with Flutter, FastAPI, adaptive quizzes, OCR, voice learning and RAG for low-connectivity education.

    Dart

  2. video-kyc-aml-detection video-kyc-aml-detection Public

    AI-powered Video KYC and AML verification prototype using YOLOv8, OCR, deepfake detection, anomaly detection, FastAPI and SQLite.

    Python

  3. nephropredict-ckd-detection nephropredict-ckd-detection Public

    Machine-learning prototype for CKD risk assessment with a Random Forest model, Flask API, Streamlit interface, Flutter app and local prediction history.

    Jupyter Notebook

  4. energy-consumption-prediction energy-consumption-prediction Public

    Machine-learning system for smart-building energy forecasting and optimization using SVR, Streamlit, weather features and hourly energy datasets.

    Jupyter Notebook

  5. greenhaven-ai-eco-retreat greenhaven-ai-eco-retreat Public

    AI-powered eco-retreat booking platform featuring a Naive Bayes package advisor, dynamic pricing, evaluation metrics, SQLite persistence, and automated tests.

    HTML 1

  6. nlp-text-classification nlp-text-classification Public

    End-to-end NLP project for SMS spam detection using TF-IDF, Naive Bayes and Logistic Regression with verified metrics, visualizations and automated tests.

    Jupyter Notebook