Projects built by Yadnyesh Mulay
A record of what Yadnyesh Mulay has designed, built and shipped, from AI-native products and full-stack applications to NLP tooling and machine learning pipelines. Each entry covers the problem, the approach taken, and the stack it was built on.
Prism
One URL. Three ways to understand it.
Paste a website. Pick a mode. Get a fast TL;DR, a full song written from the page, or a kid-friendly explanation with a story and a quiz, one mode at a time, real AI under the hood. Built for the Outskill Hackathon.
AI-Native Product · 2026 · React, Vite, TypeScript, Google Gemini API, ElevenLabs Music API
Gmail & Google Chat Sentiment Analyzer
Phrase-based sentiment analysis across Google Workspace communications.
A comprehensive sentiment analysis tool that searches Gmail and Google Chat messages for specific phrases, analyzes sentiment polarity and subjectivity using TextBlob, and generates detailed 6-panel visualization dashboards with CSV export.
Data & NLP · 2026 · Python, TextBlob, Google APIs (Gmail, Chat), OAuth 2.0, Pandas
Microsoft 365 Sentiment Analyzer
Full-stack sentiment analysis across the Microsoft 365 ecosystem.
A modern full-stack web application (FastAPI + Next.js + TypeScript) that analyzes sentiment in communications across Teams, Outlook, OneDrive, SharePoint, and OneNote using a hybrid NLP engine (70% VADER + 30% TextBlob) with interactive Recharts visualizations and glass-morphism UI.
Full-Stack Application · 2026 · Next.js 14, TypeScript, Tailwind CSS, FastAPI, Python
Twitter Sentiment Detector (Capstone)
End-to-end ML pipeline for social media sentiment classification.
Capstone project from the Skillship Foundation Aatmanirbhar Python Program. Complete ML pipeline: data collection via Twitter API, preprocessing, feature engineering (TF-IDF, n-grams), model training (Logistic Regression, Naive Bayes, SVM), evaluation, and deployment-ready serialization.
Machine Learning · 2023 · Python, scikit-learn, pandas, NLTK, Tweepy