Project Roulette / Projects

Data & ML projects

4 of 30 projects. Each has a stack, five features to ship, a difficulty, a time estimate, and a bonus challenge.

Data & ML · Intermediate · 1–2 weeks

Resume ↔ Job Description Matcher

Upload a resume and a job posting. It scores how well they match, highlights missing skills, and suggests stronger bullet points.

  • Python
  • sentence-transformers
  • spaCy
  • FastAPI
  • Streamlit

Features

  1. PDF parsing and section extraction (experience, skills, education)
  2. Skill extraction against a curated skills taxonomy
  3. Semantic similarity scoring with a readable explanation
  4. Gap report listing missing and weak skills
  5. A small labeled test set that measures accuracy

Bonus: Benchmark three embedding models on your test set and publish the results table in the README.

Data & ML · Intermediate · 1–2 weeks

Webcam Hand-Gesture Controller

Recognizes hand gestures from a webcam in real time and uses them to control slides, media playback, or smart lights.

  • Python
  • MediaPipe
  • PyTorch or scikit-learn
  • OpenCV

Features

  1. Hand landmark extraction from live video
  2. Data-collection tool for recording custom gestures
  3. Trained classifier with a confusion matrix and accuracy report
  4. Smoothing and debounce so actions don't misfire
  5. Config file that maps gestures to actions

Bonus: Export the model to ONNX and run it fully in the browser with a live demo page.

Data & ML · Advanced · 2–3 weeks

Predictive Maintenance for Jet Engines

Predicts the remaining useful life of jet engines from sensor time series using NASA's C-MAPSS dataset, served behind an API with a monitoring dashboard.

  • Python
  • pandas
  • LightGBM or PyTorch
  • MLflow
  • FastAPI
  • Docker

Features

  1. Exploratory analysis and time-series feature engineering
  2. A baseline model and an LSTM, compared with proper time-based validation
  3. Experiment tracking in MLflow
  4. Model served through FastAPI inside Docker
  5. Dashboard showing predictions per engine

Bonus: Data-drift detection that flags when incoming sensor data stops looking like the training data.

Data & ML · Intermediate · 2 weeks

Codebase Q&A Assistant

Index any Git repository and ask questions like "where is authentication handled?" Answers cite the exact files and lines they came from.

  • Python
  • tree-sitter
  • sentence-transformers
  • pgvector or Qdrant
  • FastAPI
  • An LLM API

Features

  1. Code-aware chunking by function and class using tree-sitter
  2. Hybrid keyword and vector search
  3. Answers with file and line citations
  4. Incremental re-indexing when new commits land
  5. An evaluation set of 30+ questions that measures retrieval accuracy

Bonus: A VS Code extension so you can ask questions without leaving the editor.