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Browse projects tagged with "flask".

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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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AI Portfolio Assistant

Web

I 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.

LLM RAG NLP flask web-app machine-learning API-integration REST-API admin-dashboard CI-CD deployment

GitHub Live Details

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

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

Professional Portfolio Site

Web

Full-stack Flask portfolio with a custom admin dashboard, PostgreSQL, a REST API, an AI assistant powered by RAG, Cloudflare R2 media storage, and CI/CD deployment to Railway via GitHub Actions.

web-app python REST-API authentication CRUD deployment flask admin-dashboard CI-CD RAG LLM

GitHub Live Details

Programming Language Workforce Strategy — Data Analysis

Data

Stack Overflow lost 97.7% of its post volume since 2016 — and its momentum now anti-correlates with hiring demand. This project proves the signal is broken, then builds a four-source replacement index to answer which languages to hire for.

data-analysis data-pipeline visualisation flask web-app REST-API web-scraping python automation

GitHub 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

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.

MLOps deep-learning time-series neural-network LLM benchmarking AWS azure deployment flask web-app zero-shot finance model-registry jupyter

GitHub Live Details

Telco Customer Churn Predictor

Data

Churn 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.

machine-learning AWS azure flask jupyter deployment benchmarking data-analysis statistical-analysis feature-engineering visualisation web-app API-integration LLM REST-API data-pipeline label-encoding resampling python NLP xgboost logistic-regression shap explainability churn-prediction classification tabular-data model-registry zero-shot scikit-learn

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Browse Projects

AI Portfolio Assistant

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

Customer Segmentation — Telco Archetypes

Professional Portfolio Site

Programming Language Workforce Strategy — Data Analysis

SMS Spam Classifier

Stock Trend Pattern Recognition — Amazon SageMaker MLOps

Telco Customer Churn Predictor

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