Browse Projects
Browse projects tagged with "machine-learning".
AI Portfolio Assistant
WebI built a conversational AI assistant directly into my portfolio site. Recruiters and visitors can ask anything about my projects, skills, and background — and get grounded, cited answers in real time, powered by RAG (Retrieval-Augmented Generation) and Llama 3.3 70B via Groq.
AWS Lambda & Amazon Bedrock: Benchmarking TF-IDF, LSTM, and Zero-Shot LLM Sentiment Analysis
Ai-mlA 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.
Boston House Price Predictor
Ai-ml1970s 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.
CNN Food Classifier
Ai-mlI 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.
CV Gap Analyser — Semantic Job Matching with HuggingFace and Pinecone
Ai-mlSemantic 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.
Credit Risk Scoring API
DataCredit risk scoring API on the German Credit dataset. Three classifiers benchmarked; Logistic Regression wins by cost-weighted score. FastAPI serves predictions with plain-language explanations. Deployed on Azure via GitHub Actions CI/CD.
Customer Segmentation — Telco Archetypes
Ai-mlUnsupervised 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.
LEGO Dataset Analysis
DataLEGO nearly went bankrupt in 1998. This project joins six relational tables across 15,710 sets to measure exactly what changed — licensed share grew from 0% to 31.5%, average complexity 8×, and minifigure density 57% from 1970 to 2010.
Language Detector — Character N-gram Classification
Ai-mlDetects 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.
Movie Budget Linear Regression Analysis
DataAcross 5,384 films from 1915–2018, a linear regression on budget vs. worldwide gross gives a slope of 3.12 (R²=55.77%) — every dollar of budget is associated with $3.12 in revenue, yet 37.28% of films still failed to recoup their costs.
SMS Spam Classifier
Ai-mlSMS 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.
Telco Customer Churn Predictor
DataChurn prediction with plain-language risk explanations a retention team can act on. Logistic Regression wins (ROC-AUC 0.8362), benchmarked against Amazon Bedrock Claude Haiku 4.5 zero-shot — tied at 70%. Flask API on Azure.
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