Projects
Selected work.
A mix of production ML systems, research prototypes, and open-source contributions.
Full-stack AI web app @ Delta Cubes
↗Recruitment Management System
An AI-powered recruitment platform with resume parsing and job–candidate matching. React.js frontend, Node.js + Express REST APIs, PostgreSQL, and OpenAI API for intelligent candidate understanding and recommendation.
LLM agents · CrewAI · OpenAI
↗Multi-Agent Deep Research System
An AI multi-agent system for automated web research, data retrieval and report generation. Built agent-collaboration workflows using LLM APIs and a tool-calling architecture; deployed on Windows and Linux.
Deep learning · CNN + LSTM
↗Speech Emotion Recognition
A hybrid CNN + LSTM model for real-time emotion detection from voice. Extracted MFCC audio features from voice datasets and tuned the model for strong classification performance across emotion categories.
Multi-agent video insights
↗YouTube Trend Analysis
A tool that scrapes YouTube channels and uses multi-agent AI to identify key topics and trends. Shipped as a Streamlit web app for interactive trend visualisation.
Applied ML · AICTE Virtual Internship
↗Crop & Fertilizer Recommendation
An ML model recommending optimal crops and fertilizers from soil and climate data. Applied supervised learning with Python and Scikit-learn, deployed via Streamlit.
Computer vision @ Infosys
↗Facial Recognition & Recommendation
A computer-vision facial recognition and recommendation system built with Python and OpenCV. Preprocessing plus deep-learning feature-extraction pipelines exposed via REST APIs to a web UI.