Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

My public Kaggle notebooks

I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.

All my Kaggle Notebooks that I've published

Competitions, Datasets, Notebooks

My notebooks in the world's largest data science community

Competitions and tutorials on machine learning.

"Development and Evaluation of a Regression-Based Model for Weather Prediction in India"

Exercise & Calorie Coach Orchestrator Agent (Gemini + ADK) AI “fitness coach” agent that recommends personalized workout plans using Google’s Agent Development Kit (ADK), Gemini, and the Calories Burned During Exercise and Activities Kaggle dataset.

Web app to estimate body fat % using Siri's equation (495/Density - 450). Built with Flask, Bootstrap 5.3, embedded CSS. Input density, abdomen, chest, weight, hip; view results. Deployable to Azure.

Kaggle-Works is your one-stop repo to organize every phase of a Kaggle competition or tabular-data project. It enforces a clear directory layout so you never lose track of files, and makes it easy to hand off or reproduce your work later.

This project builds an LLM-powered audio summarization pipeline that converts spoken content into concise, meaningful text summaries. It integrates speech-to-text processing with large language models to demonstrate practical applications of Generative AI for content understanding and automation.

kagutils is a utility script designed for Kaggle notebooks, providing essential functions to streamline workflows. It includes tools for inventorying available files in the Kaggle environment and automatically loading CSV/JSON files into Python variables for easy data access and manipulation.

This repository is a sample of my kaggle notebooks exploring geospatial, natural language processing, computer vision, and time series datasets through hands-on examples and insights. Each notebook provides practical applications and techniques

My projects to improve the world.

Run Qwen on Kaggle with Ollama and Gradio. Public launcher and tutorial for local LLM chat in Kaggle notebooks.

Jupyter Notebook defining, visualizing, and executing a gradient descent algorithm for optimization of three-dimensional cost functions.

Central notebook hub for Law-N — experiments, simulations, and N-SQL flows powered by the core Law-N repos.

Notebooks written while learning tensorflow from the book Deep learning with Python. Consists my understanding of the concepts and execution of the code I tried on my end

The AI-Powered Restaurant Recommendation Engine is a FastAPI web app that provides personalized restaurant suggestions using fuzzy matching for star rating, review count, category, city and attributes. It features a vibrant, responsive UI with rounded forms and animations.