Neuro-Symbolic AI: Hybrid Reasoning (Python + Streamlit)
A complete Python project combining a neural network with a symbolic rule engine for multi-class clinical diagnosis on synthetic data. Includes an interactive Streamlit dashboard with four tabs, a differentiable rule-penalty hybrid model, full source code across eight documented modules, expert knowledge rules, and a seven-page written report. Download includes runnable code, datasets, README study guide and the project report.
This is a reference sample written by a subject specialist and published as a model of structure, argument and referencing. It is not for submission. Use it to see how a strong answer is organised, how sources are woven into the argument and how the referencing style is applied in practice, then write your own. Every piece we produce is written from scratch against the brief you supply, and comes with an originality report.