Ai-ml Projects
Browse my ai-ml work tagged with "deployment".
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.
Anime Face GAN — DCGAN on 63,000 Training Images
Ai-mlGenerates anime faces using a DCGAN trained on 63,000 images. Every face is produced from random noise — none of them exist. Trained on Google Colab T4 GPU. Includes latent space interpolation showing smooth morphing between faces.
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.
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.
Digit Recognizer — CNN on MNIST
Ai-mlDraw 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
Ai-mlT5-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
Ai-mlPDF 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
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.
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.
Stock Trend Pattern Recognition — Amazon SageMaker MLOps
Ai-mlStacked 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.
No projects found
No projects match the current filter.