Accepted at 8th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) 2023, Malaysia

The proposed project aims to develop a machine learning-based system that can predict and analyze character traits and age demographics by analyzing dialogues from various sources such as movies, books, and social media. The system will use Natural Language Processing (NLP) techniques to extract relevant features from the dialogues and then use these features to train a machine learning model.

The project will focus on two main objectives: (1) predicting character traits such as openness, conscientiousness, extraversion, agreeableness, and neuroticism, and (2) analyzing age demographics such as age groups, age ranges, and generational cohorts. The system will be trained on a large dataset of dialogues from various sources and validated using standard evaluation metrics.

• Harry Potter Dataset

• Friends Dataset

• Gender Bias Dataset

• Charvi Bannur

• Chaitra Bhat

• Sai Shruthi Shashidhar

• Suraj R Gautham

• Ankitha C