Don's Hour Log

[dontran15]

Week 0:

• Project Ideation and Repo Setups

Week 1:

• Deployment (4 hr)

  • [x] Set up backend repo
  • [x] Set backend up and running on AWS
  • [x] Set up auto deployment

• Dating Profile POJO Setup (2 hr)

  • [x] POJO Setup
  • [x] Typical GET/POST/UPDATE methods for each user
  • [x] JPA Repository to grab data

• Log In/Sign Up (1 hr)

  • [x] JWT implementation of log in sign up credentials
  • [x] Front end access to log in sign up w/ cookies stored

• BERT-Generation (Moved Away From)

  • [ ] Plan for model (research and structure)
  • [ ] Remove irrelevant folders and files
  • [ ] Build interface between java and python
  • [ ] Basic text display set up on backend side

• ChatGPT (3 hrs)

  • [x] Pick up line through ChatGPT based on profiles (Bailey)
  • [x] Frontend chatbox
  • [x] Demonstrate API working
  • [x] General chat gpt working

Week 2: (N@TM)

• Chat Interface (4 hrs)

  • [x] Chat Box with Responses returned through HTML
  • [x] API Fetch
  • [x] Scrollable Chatbox
  • [x] Idling message for Chatbox
  • [x] Change between different chatbots
  • [ ] Potential Add Ons: more interactive idling phase of response, saved chat responses for API Request

• Backend Chat (8 hrs)

  • [x] Built off Bailey's implementation
  • [x] Added analysis based text prompt that feeds into actual prompt
  • [x] Added personality prompt to Chats
  • [x] Deployment AWS Key with .gitignore
  • [x] Python and txt file readers to call ChatGPT (probably a better way of doing this through Github env or actual documentation)
  • [x] To add: text response based on user info, requires double fetch

• Build Profile Chats (TO DO):

  • [ ] Create chatbox between two users, POJOs to match responses, need to find someway to make it seamless on web
  • [ ] Create AI assistance frontend feature
  • [ ] Use Profile to give to Chat (likely need to hold data selected by user in frontend and send to Chat from backend)