A real-time voice AI that manages bookings through natural conversations using a speech-to-LLM-to-speech pipeline with context awareness and automated email confirmations.
✅ Maintains conversation context across turns
✅ Confirms reservations and sends automated email confirmations
Tech: Python, FastAPI, LLMs (OpenAI), Whisper (STT), TTS, Prompt Engineering, Intent Extraction, SMTP Email.
Architecture: Audio Input → STT → LLM (intent + slot filling) → TTS → Email + Booking Storage
View on GitHub Live DemoML-based career recommendation system that analyzes resumes against job datasets to suggest best-fit roles and identify missing skills with targeted project recommendations.
✅ Relevant job roles you are a good fit for.
✅ Missing skills & suitable projects to improve your portfolio.
Tech: Python, pandas, numpy, scipy, scikit learn, EDA, feature engineering, ML models.
Architecture: Resume Parsing → Feature Engineering → Job Similarity Scoring → Role & Project Recommendations
View on GitHubEnd-to-end machine learning pipeline for predicting house prices using regression models and feature engineering, with interpretability to explain key value drivers.
✅ Accurate price estimation using advanced regression models.
✅ Feature insights to show which factors drive property values.
Tech: Python, pandas, numpy, scikit-learn, feature engineering, model tuning, Ridge & Lasso regression, Streamlit frontend.
Architecture: Data Ingestion → Feature Engineering → Model Training (Ridge/Lasso) → Evaluation → Prediction Output.
View on GitHub