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Vaibhav Sonavane
GitHub

Vaibhav Sonavane

@vaibhav19128

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About

Curious about Artificial intelligence and latest working on Machine Learning and python libraries like pandas,matplotlib,pandas,seaborn.

Followers 1
Following 0
Public Repositories 10
Expertise

Skills & Technologies

Python JavaScript Jupyter Notebook
GitHub Work

Projects & Repositories

Recent public projects and repositories from this profile.

College-FAQ-S-Chatbot-AI-Agent

Python

An intelligent, context-aware college helpdesk chatbot powered by Flask and the Gemini API. Features multi-model fallback, semantic reference matching, and real-time response generation to instantly answer student and campus queries.

⭐ 1 Forks: 0

AudioMind-AI

A deep learning-based AI music generation workstation that trains an LSTM neural network on MIDI datasets and features an interactive Streamlit studio console with real-time web audio synthesis.

⭐ 1 Forks: 0
Repository View Project

LinguaTranslate-Language-Translation-Tool

JavaScript

LinguaTranslate is a full-stack real-time language translation web app developed during my CodeAlpha internship. Built with Node.js, Express, and JavaScript, it features instant translation across global and Indian regional languages, text-to-speech voice playback, translation history caching, and a responsive glassmorphic dark/light UI.

⭐ 0 Forks: 0
JavaScript View Project

Medical-Insurance-Cost-Prediction

Jupyter Notebook

Machine Learning project that predicts individual medical insurance charges using demographic and health-related features. Includes data cleaning, exploratory data analysis (EDA), feature engineering, regression modeling, and model evaluation using Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

⭐ 0 Forks: 0
Jupyter Notebook View Project

House-Price-Prediction-System-using-python

Jupyter Notebook

House Price Prediction using Machine Learning. This IBM Data Science capstone project performs data cleaning, exploratory data analysis (EDA), feature engineering, and builds regression models to predict house prices. Developed using Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

⭐ 0 Forks: 0
Jupyter Notebook View Project

vaibhav19128

No project description available.

⭐ 0 Forks: 0
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