Skip to content

DEMO_VIDEO_SCRIPT.md

Latest commit

 

History

History
60 lines (34 loc) · 2.01 KB

DEMO_VIDEO_SCRIPT.md

File metadata and controls

60 lines (34 loc) · 2.01 KB
Raw

Nexus AI Demo Video Script

45-60 Second Walkthrough

Use these README screenshots as your visual anchors:

  • assets/nexus-dashboard.png
  • assets/nexus-resume-coach.png
  • assets/nexus-case-study.png

1. Open With The Problem

"Nexus AI is a career operating system for college students. Instead of tracking internships, projects, certifications, networking, interviews, and resume notes across separate tools, Nexus puts the entire career workflow in one dashboard."

2. Show The Blank Workspace

Open the live site and point out that the app starts blank so each student builds their own workspace.

3. Load The Demo Data

Click Load Demo Data.

"For a quick demo, I added a generic workspace with applications, certifications, projects, skills, networking, interviews, goals, and resume notes."

4. Explain The Dashboard

Show:

  • Career readiness score
  • Active applications
  • Skill coverage
  • AI Coach
  • Weekly Career Plan
  • Pipeline Analytics

"The dashboard generates readiness signals from the workspace data, so it is more than a storage tool."

Recommended line:

"This is the part I wanted to feel different from a normal tracker. Nexus does not just store tasks; it turns the student's career activity into readiness signals and next actions."

5. Show Resume Feedback

Open Resume.

"The resume coach scores the draft and recommends stronger action + tool + result bullets based on the student's projects and target role."

6. Show The Case Study

Open Case Study.

"I also built a product case study view that explains the problem, system design, data model, and startup roadmap."

Recommended line:

"I added this because I want recruiters to see not just the interface, but how I think through product requirements, data models, and future technical tradeoffs."

7. Close With The Backend

"The frontend is hosted on GitHub Pages and automatically connects to a FastAPI backend on Render. The next major version is authentication and PostgreSQL so each student has a private persistent workspace."