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MithilaStack2024Frontend Lead & Full-Stack Engineer

// Rising Bihar

Social-impact platform providing free career guidance to 1,000+ students across Bihar — featuring an automated assessment engine, Google Meet API integration for live counseling sessions, and a tri-panel architecture with RBAC for students, counselors, and admins.

The Challenge

Career counseling at scale for underserved students required automating subjective assessment grading, eliminating friction from scheduling video counseling sessions, and managing complex multi-role permissions across student, counselor, and admin workflows.

The Solution

Led the development of an intelligent automated grading engine for subjective assignments, integrated the Google Meet API for seamless session scheduling and link generation, and architected a tri-panel RBAC system with real-time chat and mobile push notifications to unify the counseling experience.

// Key Impact Metrics

0+
Students Served
0%
Admin Friction Reduced
0
Panels Architected

// Tech Stack

Next.jsNode.jsGoogle Meet APIRBACWebSocketPush NotificationsMongoDB

Key Learnings

01.

Automated subjective grading requires rubric-driven evaluation logic rather than keyword matching — students lose marks not for missing keywords but for missing reasoning.

02.

Google Meet API spaces must be created with correct access type upfront — modifying access controls post-creation causes participant confusion during live sessions.

03.

Tri-panel RBAC architectures benefit from a centralized permission resolver that all three panels reference, rather than per-panel role logic.