Nexus AI: Career Readiness Coach for College Students
July 31, 2026 at 11:59 PM ET
Nexus AI helps college students turn scattered internship preparation into a trackable career workspace with readiness scoring, skill-gap analysis, priority alerts, and weekly next actions.
Students often manage internship preparation across job boards, spreadsheets, notes apps, resume drafts, saved links, and disconnected advice. That makes it difficult to know which applications need attention, which skills are missing, which projects prove readiness, and what to do next each week.
College students preparing for internships, fellowships, and early-career roles, especially students who are building portfolios while balancing classes, certifications, networking, and applications.
Nexus AI gives students one workspace for:
- Applications
- Certifications
- Projects
- Networking
- Interview preparation
- Skills
- Resume notes
- Goals
The system converts that workspace data into:
- Career readiness score
- Priority alerts
- Target-role skill gaps
- Resume coaching checklist
- Weekly career action plan
- Backend-generated workspace report
Nexus AI is designed around AI-assisted decision support. The current version uses transparent rule-based coaching logic so students can see why each recommendation appears. The next version can connect IBM Granite or watsonx to generate natural-language coaching while keeping the same evidence-based structure.
This approach keeps the AI accountable: recommendations are tied to visible student data such as target role, skills, project proof, application status, networking activity, and deadlines.
- A student starts with a blank workspace.
- The student saves a target role, major, graduation timeline, and weekly focus hours.
- The student adds applications, certifications, projects, skills, networking contacts, interviews, goals, and resume notes.
- Nexus calculates readiness signals from the workspace.
- The dashboard shows priority alerts, skill gaps, analytics, coaching cards, and weekly next actions.
- The student can export a workspace snapshot or connect to the FastAPI backend for persistent CRUD workflows.
- HTML
- CSS
- JavaScript
- Python
- FastAPI
- SQLite
- Render
- GitHub Pages
- Live app: https://jasonbinong.github.io/Nexus-AI/
- Backend health check: https://nexus-ai-api-upkl.onrender.com/health
- GitHub repository: https://github.com/jasonbinong/Nexus-AI
- Portfolio case study: https://jasonbinong.github.io/nexus-case-study.html
- Publicly accessible video
- Maximum length: 3 minutes
- Structure: why, how, demo, impact
Nexus AI is an AI-assisted career readiness workspace for college students preparing for internships and fellowships. It helps students track applications, certifications, projects, networking, interviews, skills, resume notes, and goals in one dashboard. The app turns that data into readiness scoring, skill-gap analysis, priority alerts, and weekly action plans so students know what to do next. The current version uses transparent recommendation logic and a FastAPI plus SQLite backend, with a roadmap toward IBM Granite or watsonx-powered coaching.
Nexus AI is not only a tracker. It demonstrates how AI systems can support practical decision-making by turning user-maintained data into explainable recommendations. The product focuses on student impact, transparency, and usability: every alert and next step is tied to evidence the student can see and update.