Analytics Challenge Participant – Conversational AI Model Training & Data Generation
Developed and structured synthetic banking conversations for a mobile banking chatbot AI project. Supported the generation of realistic, multi-turn dialogue flows to train and evaluate conversational models. Worked with LLaMA, BERT, and Qwen in Google Colab to assist in intent recognition and conversational coherence. • Generated synthetic text data to support context-aware conversation modeling. • Contributed to model intent recognition and multi-turn conversation training. • Ensured dialogue coherence and realism to aid model performance. • Collaborated in a team setting for AI chatbot development.