continuousactivelearning/vibe
Mar 2026 – Apr 2026
2 Months active
Languages Used
JavaScriptTypeScript
Technical Skills
NodeNode.jsReactdata visualizationfront end developmentfull stack development
Meenakshi
PROFILE
Meenakshi
Jasmeen Akshi developed two core features for the continuousactivelearning/vibe repository over a two-month period, focusing on emotion analytics and feedback enhancement for educational platforms. She built an Emotion Analytics Dashboard for course instructors, enabling course-level and aggregated sentiment insights by capturing learner emotions and feedback text on submissions. Using React, Node.js, and TypeScript, Jasmeen implemented data visualization and full stack techniques to support data-driven instructional decisions and content review. She further enhanced the feedback interface with emotion-based prompts, improving user engagement and feedback clarity. Her work demonstrated depth in user-centric design, disciplined version control, and robust front end development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
4,406
Activity Months2
Your Network
56 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Focused on improving feedback collection by introducing emotion-aware prompts. Delivered the Feedback Interface Enhancement with Emotion-Based Prompts in the continuousactivelearning/vibe repo, anchored by commit 5dabb30566f93202f48816831ceee3dc0e028f98 ("Interface for feedback improved"). This work increases engagement and the clarity of feedback signals by tailoring prompts to user emotions and supports more actionable product decisions. No major bugs were fixed this month; stability and polish were maintained. Overall, the enhancement accelerates product iteration by capturing richer, sentiment-informed feedback and demonstrates strong UI/UX, user-centric design, and disciplined version control.
1 Commits • 1 Features
Apr 1, 2026Month: 2026-04 — Focused on improving feedback collection by introducing emotion-aware prompts. Delivered the Feedback Interface Enhancement with Emotion-Based Prompts in the continuousactivelearning/vibe repo, anchored by commit 5dabb30566f93202f48816831ceee3dc0e028f98 ("Interface for feedback improved"). This work increases engagement and the clarity of feedback signals by tailoring prompts to user emotions and supports more actionable product decisions. No major bugs were fixed this month; stability and polish were maintained. Overall, the enhancement accelerates product iteration by capturing richer, sentiment-informed feedback and demonstrates strong UI/UX, user-centric design, and disciplined version control.
April 2026
March 2026
2 Commits • 1 Features
Mar 1, 2026Month: 2026-03 | The primary focus this month was delivering a new learner emotion analytics capability and an instructor-facing dashboard to enable data-driven decisions on course engagement. The work centers on the Emotion Analytics Dashboard for Course Instructors within the continuousactivelearning/vibe repository, with course-level analytics and aggregated insights across modules.
March 2026
2 Commits • 1 Features
Mar 1, 2026Month: 2026-03 | The primary focus this month was delivering a new learner emotion analytics capability and an instructor-facing dashboard to enable data-driven decisions on course engagement. The work centers on the Emotion Analytics Dashboard for Course Instructors within the continuousactivelearning/vibe repository, with course-level analytics and aggregated insights across modules.
Activity
Loading activity data...
Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage46.6%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
NodeNode.jsReactdata visualizationfront end developmentfull stack development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline