Developed EmpathAI, an AI-powered conversational application designed to provide empathetic, context-aware conversations through natural language.
The project focused on combining conversational AI with a simple, accessible interface to create a more human-like chatbot experience.
Key Features
AI-powered conversational chatbot for natural-language interactions
Fine-tuned DialoGPT model for conversational responses
Conversational interface built with Streamlit
Firebase integration for storing and managing application data
Context-aware dialogue handling for more coherent conversations
Clean and user-friendly chatbot interface
Deployed through Hugging Face Spaces for public accessibility
End-to-end implementation covering model development, application interface, backend integration, and deployment
Tech Stack
Python · DialoGPT · Hugging Face Transformers · Streamlit · Firebase · Hugging Face Spaces
My Role
AI/ML Engineer — End-to-End Development
Designed and developed the project from the AI model layer through the user-facing application, including conversational model fine-tuning, application development, database integration, and deployment.
The project gave me practical experience in NLP, conversational AI, transformer-based models, model deployment, and building AI applications around real user interactions.
EmpathAI — AI Mental Health Chatbot
Developed EmpathAI, an AI-powered conversational application designed to provide empathetic, context-aware conversations ...