Full-Stack Platform · Gemini AI Integration · Evaluation Systems
Career Portfolio Hub.
AI-Assisted Submission & Evaluation Platform
A full-stack platform that helps bootcamp participants transform rough project notes into structured portfolio submissions while giving reviewers a standardized workspace for evaluating projects against a shared rubric.
Bootcamp evaluations are fragmented.
Participants typically prepare their projects in documents, emails, and chat messages before manually assembling a final submission. Reviewers then receive inconsistent formats, making evaluation slower and more subjective.
The challenge was to design a workflow that standardized both submission and evaluation without replacing human judgment.
AI assists both sides of the process.
Participants begin with rough notes rather than polished documentation. The platform uses Gemini to transform those notes into structured project summaries aligned with the bootcamp's evaluation rubric. Participants remain in control, reviewing and editing the generated content before publishing.
On the reviewer side, evaluators receive standardized submissions, AI-generated assessment suggestions, and dedicated scoring tools while retaining full authority over the final decision.
Live Walkthrough
Platform Demonstration
BUILT TO DEMONSTRATE HUMAN-IN-THE-LOOP AI WORKFLOWS AND STANDARDIZED EVALUATIONS.
Dual-Sided Experience
Product Workflow
Student Workspace
The participant workspace allows students to enter rough notes, generate structured portfolio content with AI, manually edit every section, publish the submission, and continue making revisions until the evaluation deadline. Once closed, editing is automatically disabled to preserve evaluation integrity.
Reviewer Workspace
Reviewers access a dedicated evaluation interface with standardized project summaries, AI-generated baseline recommendations, seven rubric scoring categories, reviewer notes, award nomination workflows, and submission locking after final approval.
System Design
Architecture
Designed around complete product execution rather than static prompt engineering.
AI-Assisted Authoring
Transforms rough project notes into structured submissions aligned with the evaluation rubric.
Human-in-the-Loop Editing
Every AI-generated section remains editable before publication.
Dual Interface Architecture
Separate experiences were designed for participants and reviewers, each optimized for their specific workflow.
Deadline Management
Submission windows are controlled centrally, automatically preventing modifications after the review cutoff.
AI Recommendation Engine
Provides reviewers with an initial assessment while leaving scoring decisions entirely in human hands.
Outcomes
Measurable Impact
The platform demonstrates how AI can augment structured review processes without automating decision making.
Participants spend less time formatting documentation.
Reviewers receive standardized submissions.
Bootcamp organizers maintain consistent evaluation criteria.
Human judgment remains the final authority.