Thesis Ideas

# Librerouter Testing and Coverage Mapping
  Pros: Very useful, great portfolio piece, front-end/db/rest practice. Light C++/Sh development. Distributed development.
  Cons: Hardware dependency, very hard to accurately test a large coverage map without deploying code to a target system
  Data: From libremap.net, collected in real-time on target hardware, or simulated with qemu
  Goal: Front-end application for displaying real-time service data as fed from target hardware
  
# Real-time Chat Bot
  Pros: Fun hack, great portfolio piece, tensorflow RT practice
  Cons: Expensive, no immediate value to market or open source project
  Data: 
    Potentially: https://www.kaggle.com/rtatman/ubuntu-dialogue-corpus. 
    1 million ubuntu support chats between two people.
  Goal: Ask a box in my room ubuntu questions and have it respond. Develop tooling for training its response at a user level.
  
# Facial Recognition and Combatting Sampling Bias 
  Pros: Very interesting topic. Datasets readily available. Potentially informative and novel research.
  Cons: Doesn't fit into current portfolio or fit in long-term career goals (embedded data science). Not much tech practice (unless model includes tensorflow)
  Data: 
    Potentially:https://www.nist.gov/srd/nist-special-database-18
    National Institute for Standards dataset for mugshots. 
    Potentially: https://lionbridge.ai/datasets/5-million-faces-top-15-free-image-datasets-for-facial-recognition/
    Potentially: http://robotics.csie.ncku.edu.tw/Databases/FaceDetect_PoseEstimate.htm
    Other Faces in the wild
       
# Investigate causal relationships between technology and wealth
  Pros: Finance, projection, analytics practice. 
  Cons: Dataset will be unreliable, could get non-interesting result, not much tech practice
  Data:
    Probably: Census data by tract or county level
    Country Data: Did not allow for rigid financial analysis due to currency conversions and purchase parity questions
    US Census State Data: Wasn't high enough resolution to do good control-based studies (manova, for example)
  Goal: Investigate with high confidence the covariance relationship between wealth and internet access rates