Uploaded Sessions
128
+18 this weekProfiles Generated
74
AI-assistedPending Review
21
Reviewer queueInstitutions
6
Role-based accessMVP Workflow
User or institution enters the platform securely.
Video, activity type, notes and metadata are captured.
Video is stored in cloud storage and mapped to the right user.
Reviewer tags skill and behaviour moments.
AI summarizes metadata and tags into structured insights.
User and institution view profile output.
High-Level Data Flow
Create / Upload Activity Session
Phase-one upload experience with metadata, validation, progress handling and secure storage mapping.
Drag & Drop Video Here
MP4, MOV, WEBM. Large files supported through presigned/resumable upload.
72% uploaded. Video will be linked to user, institution and session metadata.
Session Queue
| Session | User | Status |
|---|---|---|
| Robotics Obstacle Detection | Aarav Sharma | Uploading |
| Coding Logic Challenge | Maya Patel | In Review |
| Design Thinking Task | Leo Martin | AI Output Ready |
Reviewer Tagging Workspace
Reviewer can watch the uploaded activity video and tag specific skill or behaviour moments.
Tagged Moments
| Timestamp | Tag | Reviewer Note |
|---|---|---|
| 02:15 | Problem solving | Identifies obstacle issue and explains logic. |
| 04:40 | Persistence | Retries approach after failed attempt. |
| 08:10 | Technical accuracy | Correctly adjusts movement logic. |
AI-Assisted Analysis
The backend sends selected metadata, reviewer tags and notes to an external AI model API. No custom AI model is required in phase one.
Aarav demonstrates strong logical thinking and persistence. He identifies the core issue after multiple attempts and communicates his reasoning clearly. Further improvement is recommended in structured planning before execution.
Structured Skill Profile
| User | Aarav Sharma |
|---|---|
| Institution | ABC Learning Academy |
| Skill Level | Intermediate |
| Strengths | Problem solving, persistence, logical thinking |
| Improvement Areas | Planning, debugging speed |
| Recommended Next Step | Advanced debugging task with guided planning checklist |
Total Users
320
Sessions This Month
184
AI Profiles
96
Institution User Activity
| User | Group | Latest Session | Profile Status |
|---|---|---|---|
| Aarav Sharma | Robotics Cohort A | Obstacle Detection | Ready |
| Maya Patel | Coding Cohort B | Logic Challenge | Review |
| Leo Martin | Design Cohort C | Design Thinking | AI Draft |
User & Institution Management
Create users, map users to institutions, assign roles and manage access.
Tagging Categories
Configure skill and behaviour categories used by reviewers and AI.
AI Output Settings
Control prompt templates, output format and profile structure.
Admin Review Queue
| Item | Owner | Status | Action |
|---|---|---|---|
| New institution request | ABC Learning | Pending | Review |
| AI output approval | Aarav Sharma | Ready | Approve |
| Tag update request | Reviewer Team | Review | Open |
Streamlined Capture / Upload Workflow
Recommended MVP approach: improve browser-based upload in phase one. Treat hotkey or companion capture as a phase-two enhancement because it may require browser extension, desktop app, screen capture permissions or OS-level access.
User records video through preferred tool or device.
User logs in and creates/selects a session.
Activity type, notes, tags and timing are added.
Drag and drop, file picker, validation and progress.
Reviewer tags video and AI creates profile output.