Projects

Ai-ml Projects

Browse my ai-ml work tagged with "azure".

Boston House Price Predictor cover image

Boston House Price Predictor

Ai-ml

1970s Boston house price predictor. Linear regression on 13 features with log-transformed target (test r²=0.74). Live slider UI on Azure; full analysis in rendered notebook.

Customer Segmentation — Telco Archetypes cover image

Customer Segmentation — Telco Archetypes

Ai-ml

Unsupervised segmentation of 7,043 Telco customers into five behavioural archetypes using K-Means and Hierarchical Clustering. Input a customer profile to receive a segment label, a plain-English placement explanation, and a dynamically generated retention strategy.

Digit Recognizer — CNN on MNIST cover image

Digit Recognizer — CNN on MNIST

Ai-ml

Draw a digit on the canvas — the CNN predicts it in real time. Trained on 60,000 MNIST images. Confidence score and probability bar chart across all 10 digits. Live on Azure App Service.

Email Subject Generator — T5 Transformer cover image

Email Subject Generator — T5 Transformer

Ai-ml

T5-small fine-tuned on the AESLC corpus (14k Enron email/subject pairs) to generate professional subject lines from an email body. Five suggestions returned at varying temperature levels — from beam-search conservative to top-p creative sampling.

LLM Document Summarizer — LLMOps with Amazon Bedrock cover image

LLM Document Summarizer — LLMOps with Amazon Bedrock

Ai-ml

PDF document summarizer using Amazon Bedrock (Claude Haiku) with production LLMOps patterns: versioned YAML prompt templates, automated ROUGE evaluation, Bedrock Guardrails for PII redaction, and MLflow tracking of every inference call. Deployed on Azure App Service.

Language Detector — Character N-gram Classification cover image

Language Detector — Character N-gram Classification

Ai-ml

Detects the language of any text across 22 languages using character n-gram TF-IDF features. Returns the top 3 languages with confidence scores and a plain-English explanation of the character patterns driving the detection.

SMS Spam Classifier cover image

SMS Spam Classifier

Ai-ml

SMS spam detection comparing three approaches — Naive Bayes, SVM, and Amazon Bedrock (Claude Haiku zero-shot) — on the same test set. Every prediction comes with a plain-English explanation of the words that drove it. Class imbalance addressed explicitly. Deployed on Azure App Service.

Stock Trend Pattern Recognition — Amazon SageMaker MLOps cover image

Stock Trend Pattern Recognition — Amazon SageMaker MLOps

Ai-ml

Stacked LSTM for stock trend pattern detection, served via Amazon SageMaker Real-Time Endpoint. Flask frontend on Azure App Service — multi-cloud MLOps. Pattern detection only, not financial advice.

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