AI & Machine Learning

End-to-end ML engineering — from data ingestion and feature engineering through model training, experiment tracking, and serving. Most of these came out of real fintech datasets and production constraints.

8

in this folder

2

in production

2

with a live demo

productionmano

Mano — Hand Gesture RPS

Rock Paper Scissors played with real hand gestures via webcam. MediaPipe detects hand landmarks in real time; an adaptive Markov chain CPU opponent learns from your play patterns and adjusts strategy mid-game.

TypeScriptMediaPipeMarkov ChainComputer Vision

sourcelive ↗

productionnn-sim

ML Playground

Six interactive machine learning demos running entirely in the browser — neural networks, tokenizers, embeddings, regression, activation functions, and attention mechanisms. No server, no backend; all compute is client-side.

TypeScriptNext.jsNeural NetworksWebGL

sourcelive ↗

researchfh-algorithm

FH Image Segmentation

Graph-based image segmentation implemented from scratch. Models an image as a weighted undirected graph — each pixel a node, edges weighted by color similarity. Union-Find (with path compression + union-by-size) merges the most similar pixels first. Tunable k, σ, and min_size parameters give coarse-to-fine control over segmentation granularity.

PythonNumPyUnion-FindComputer Vision

source

AI

capstonecredit-risk

Credit Risk Prediction Pipeline

End-to-end ML pipeline for credit scoring on real fintech loan data. Feature engineering, model selection (XGBoost, LightGBM), MLflow experiment tracking, and a FastAPI inference endpoint.

PythonXGBoostMLflowFastAPIDagsterdbt

source

AI

capstonechurn-prediction

Customer Churn Prediction

Churn prediction system with class-imbalance handling (SMOTE), SHAP explainability, and a Dagster orchestration pipeline pulling from PostgreSQL via dbt-transformed tables.

PythonSHAPSMOTEDagsterPostgreSQLdbt

source

AI

capstonefraud-detection

Fraud Detection System

Real-time fraud detection using transaction sequence features, geospatial signals, and an ensemble model. Includes a streaming-friendly inference layer and anomaly scoring dashboard.

PythonScikit-learnFastAPIPostgreSQLDocker

source

AI

capstonetime-series

Time Series Demand Forecasting

Multi-horizon demand forecasting pipeline over financial telemetry data. Compared ARIMA, Prophet, and LSTM approaches with automated retraining on drift detection.

PythonProphetPyTorchLSTMMLflow

source

AI

capstonenlp-pipeline

NLP Financial Document Pipeline

Text classification and entity extraction pipeline for financial documents. Fine-tuned a transformer model for Amharic-English mixed text and deployed with a FastAPI wrapper.

PythonTransformersHuggingFaceFastAPIspaCy

source