Projects

Ai-ml Projects

Browse my ai-ml work tagged with "machine-learning".

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All Tags admin-dashboard anomaly-detection API-integration authentication automation AWS azure benchmarking big-data browser-automation churn-prediction CI-CD classification CLI clustering computer-vision CRUD customer-segmentation data-analysis data-pipeline dataclasses deep-learning deployment Docker docker email explainability fastapi feature-engineering finance fine-tuning flask game generative-ai guardrails GUI hugging-face huggingface hypothesis-testing image-classification IQR-capping jupyter label-encoding LLM log-analysis logistic-regression machine-learning min-max-scaling mlflow mlops MLOps model-registry neural-network NLP OOP pandas productivity prompt-engineering pyspark python RAG regression resampling REST-API retention-strategy scikit-learn scipy scope scripting semantic-search sentiment-analysis seq2seq serverless shap slack statistical-analysis tabular-data terminal terminal-ux text-classification text-generation time-series transfer-learning transformer unsupervised-learning vector-database visualisation web-app web-scraping xgboost zero-shot

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AWS Lambda & Amazon Bedrock: Benchmarking TF-IDF, LSTM, and Zero-Shot LLM Sentiment Analysis

Ai-ml

A full ML pipeline benchmarking TF-IDF + Logistic Regression, a Keras LSTM, and Claude Haiku via Amazon Bedrock on 50,000 IMDb reviews. The winning model is deployed live as a serverless REST API on AWS Lambda with a Flask frontend.

NLP machine-learning deep-learning deployment flask REST-API data-analysis visualisation python web-app LLM sentiment-analysis serverless AWS Docker text-classification benchmarking

GitHub Live Details

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.

machine-learning regression data-analysis scikit-learn azure deployment REST-API docker CI-CD jupyter web-app feature-engineering visualisation python

GitHub Live Details

CNN Food Classifier

Ai-ml

I built a convolutional neural network that classifies food images into 101 categories using two-stage transfer learning with MobileNetV2. Upload any food photo and get instant top-3 predictions with confidence scores — live on Hugging Face Spaces.

machine-learning deep-learning computer-vision transfer-learning neural-network image-classification data-analysis data-pipeline visualisation deployment web-app hugging-face python

GitHub Live Details ⏳ Loading Period

CV Gap Analyser — Semantic Job Matching with HuggingFace and Pinecone

Ai-ml

Semantic CV vs job description analysis identifying missing skills and producingactionable gap recommendations. HuggingFace embeddings for match scoring, Pineconefor a searchable job library, ROUGE for ATS keyword alignment. Accepts jobdescriptions as text, PDF, or URL via trafilatura extraction.

NLP machine-learning LLM deployment REST-API docker CI-CD jupyter web-app huggingface vector-database semantic-search

GitHub Live Details

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.

machine-learning unsupervised-learning clustering customer-segmentation churn-prediction visualisation flask azure data-analysis scikit-learn python tabular-data web-app deployment retention-strategy

GitHub Live Details

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.

NLP classification machine-learning text-classification azure deployment REST-API docker CI-CD jupyter web-app benchmarking

GitHub Live Details

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.

classification machine-learning NLP text-classification flask azure deployment explainability resampling zero-shot jupyter scikit-learn benchmarking AWS

GitHub Live Details

Ai-ml Projects

AWS Lambda & Amazon Bedrock: Benchmarking TF-IDF, LSTM, and Zero-Shot LLM Sentiment Analysis

Boston House Price Predictor

CNN Food Classifier

CV Gap Analyser — Semantic Job Matching with HuggingFace and Pinecone

Customer Segmentation — Telco Archetypes

Language Detector — Character N-gram Classification

SMS Spam Classifier

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