This project classifies a person's personality into 1 out of 16 traits as per the Myers-Briggs Personality Traits using Natural Language Processing and different multi-class as well as multi-label classification models.

Mobile-first mystical personality app synthesizing 30+ spiritual systems (astrology, numerology, Human Design) with AI-powered insights for self-discovery and relationships

Healing-tech chronobiology analyzer with Gemma AI integration for wellness monitoring and burnout prevention

This project explores the classification of extrovert and introvert personality types based on behavioral data using machine learning techniques. The aim is to build models that can distinguish between the two personality types by analyzing various features that reflect behavioral patterns.

A suite of AI tools including a Fake News Classifier and Personality Tester. Both use pre-trained ML models and Streamlit interfaces, ready for deployment, customization, or further development.

This project develops a data-driven, automated system to identify Big Five (OCEAN) personality traits using multimodal machine learning. It analyzes visual and audio signals from interviews to overcome bias in traditional questionnaires. Built on the ChaLearn dataset, it supports HR, psychology, education, and mental health applications.

Intelligent Pokémon Strategy Agent powered by Google Gemini AI. Features team recommendations, personality analysis, battle role classification, and generation comparison with Clean Architecture, SOLID principles, FastAPI REST API, and comprehensive testing.

Adaptive Persuasion in Conversational AI: An LLM-Driven Framework for Dynamic Strategy Switching via Personality and Sentiment Analysis

A machine learning-based career prediction system that analyzes personality traits (OCEAN model) from CSV data or video interviews to recommend multiple career roles. Supports Random Forest, SVM, KMeans, and facial emotion analysis with DeepFace.