# Workshop Wednesday: Engineering Star Trek with Data Science

## Product Requirement Documentation

### How to write PRDs

[](https://www.aakashg.com/counter-intuitive-pm-moves/prd/)
<small>image source: aakashg.com</small>
- User Profile
- Objectives and goals
- Features (Essential / Stretch)
- UX Flow and design notes
- System and environment requirements
- Assumptions constraints and dependencies
- Timeline & Resources
- Potential issues
- Quality and standards

## Enterprise Bridge Computer (Jupyter + Streamlit)

## Starfleet Academy ML Predictor (scikit-learn)
## Universal Translator Neural Network (TensorFlow)
## 1. Tricorder Biological Diagnostics (SciKit-Image + ML)
### User Profile
Average person who is not familiar with identifying plant species. Someone who has access to a mobile device (Android perfered, Apple ok) will take their phone with them on nature walks.

### Objectives & Goals
Goal(User): Easy identification of plants with your mobile device.

Goal(Programmer): Build a computervision model from scratch and learn how to create a application with BeeWare.

### Features (Essential / Stretch)
- "Seen Plants" Object: Name, Date, Time, Picture, Description, Tags
- Deletes "Seen Plant"
- Add "Seen Plant"
- Update "Seen Plant"
- Add "Tag"
- Delete "Tag"
- Update "Tag"
- Plant Diary: log of seen plants
- "Plant Sighting" Object <---> one to many relation with "Seen Plant"
- "Plants" Object:
- Dashboard for benchmarking identification model

### Systems recs
- NVIDA GPU
- cuCIM
- BeeWare
- scikit-image

### UX Flow
- User downloads application from github in an executable format
- User is out in the world
- Pulls out their phone (Android or Apple) and will take a picture
- Use their phone's camera to take a picture of flowers
- Use ComputerVision to identify plant species
- Save it in personal catalog of plant species in application

## Holodeck Environment Generator (BlenderAPI, PyScript + NumPy)
## 2. Warp Core Optimizer (Numba + SciPy + DeepLearning)
- Amazon SageMaker
- PyTorch
- NVIDIA GPUs
- Numba v2
## Stellar Cartography Mapper (HoloViz + 3D)

## Borg Pattern Recognition (PyTorch)
## Replicator Molecular Database (image processing)
## 3. Temporal Anomaly Detection (time series + DuckDB)