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NLP pipeline for classifying sentiment in financial news and generating weekly summaries of market-moving events. Supports sentiment-informed investment analysis.
🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.
Included five projects - Predicting Bike-Sharing Data - Dog Breed Classifier -Deploy a Sentiment Analysis Model
NSE swing-trading research platform — cross-sectional alpha scoring, LM-based news sentiment, and rigorous A/B backtesting. 100% free data, zero paid APIs.
End-to-end ML platform for Yelp business recommendations and sentiment analysis. Features collaborative filtering (ALS), NLP classification, FastAPI REST API, PySpark data processing, MLflow tracking, Docker deployment, and CI/CD automation. Academic/research project demonstrating production ML engineering.
AI-powered Social Media Sentiment Intelligence Dashboard using NLP & Machine Learning
A lightweight AWS Bedrock + Streamlit demo that transforms informal support transcripts into structured business-ready summaries, sentiment, priority, and recommended actions with SQLite-backed history and batch analysis.
Tweets data analysis and dashboard with streamlit
An intelligent speech recognition system that combines OpenAI's Whisper for accurate transcription with dual emotion detection models. Analyzes both audio characteristics (tone, pitch, intensity) and textual content to provide comprehensive emotional context alongside transcriptions.
Deploy a Sentiment Analysis Model : Udacity - Machine Learning Engineer Nanodegree Program
Brand Sentiment Analysis
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