A selection of AI, automation, data and software projects — from automation workflows and BI dashboards to machine-learning and web applications, many with public source code. Each one covers what was built, the outcome and the stack behind it.
Each project covers what was built, the outcome it delivers, who it suits and the stack behind it.
Showing 8 projects for Machine Learning
A resort-specific AI assistant that answers guest questions from property documents, routes live-information requests, and returns concise responses through an embeddable chat widget.
A retrieval-augmented document assistant that turns uploaded PDFs into searchable knowledge bases and returns grounded answers with page citations.
A proof-of-concept football officiating system combining deterministic rules, geometric margins, case-based foul probabilities, and explainable decision reports.
A complete NLP classification workflow covering exploratory analysis, BERT fine-tuning, evaluation, and live sentiment prediction through Streamlit.
A single Streamlit workspace combining text summarization, named-entity recognition, semantic keyword extraction, and text statistics.
A deep-learning text classifier that distinguishes real and fake news using a stacked LSTM architecture and a documented evaluation pipeline.
A regression pipeline that compares five machine-learning models and predicts laptop prices from hardware specifications.
A supervised machine-learning pipeline that analyzes telecom churn drivers and predicts which customer accounts are at risk.
What the leaders we work with say about the process and the results.
Illustrative sample
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