🎓 ScholarFlow – AI-Powered Student Q&A & Knowledge Community
ScholarFlow is an AI-powered doubt-resolution and knowledge-sharing platform designed for universities, schools, and EdTech platforms. It works like a StackOverflow for courses, where students ask questions, AI provides first-pass answers using course-specific RAG, and instructors/students collaboratively refine them into a trusted, permanent knowledge base.
The platform is built to scale academic support, reduce instructor overload, surface high-confusion topics, and continuously improve learning outcomes through AI + community collaboration.
🚀 Key Capabilities
AI First-Pass Answers (RAG-Based) Automatically generates accurate, context-aware answers using lecture notes, slides, textbooks, and internal course materials.
Student Q&A Community Students post doubts, upvote helpful answers, and engage in peer learning.
Instructor & TA Validation (Human-in-the-Loop) Verified answers improve trust, accuracy, and academic integrity.
Smart Question De-Duplication Prevents repeated questions using semantic similarity detection.
High-Confusion Topic Analytics Identifies weak areas in the curriculum based on question volume, sentiment, and engagement.
Course Knowledge Base Every resolved question becomes a searchable, permanent learning resource.
Role-Based Views Separate experiences for:
Students
Instructors
Teaching Assistants
Administrators
🧠 Why ScholarFlow Exists
Students ask the same doubts repeatedly
Instructors spend hours answering identical questions
Important learning gaps remain invisible
Course knowledge remains scattered across chats, emails, and forums
ScholarFlow converts this chaos into a structured, continuously improving academic intelligence system.
🛠️ Tech Stack
Frontend: React + TypeScript
Backend: Node.js API Services
AI Layer: Google Gemini (RAG-powered retrieval + generation)
Vector Search: Semantic Embeddings for similarity & retrieval
UI: Notion-style structured layouts
Analytics: Topic-level confusion dashboards
📦 Core Modules
Q&A Posting & Voting Engine
AI Answer Generation Service (RAG)
Semantic Question De-Duplication
Instructor Moderation Panel
High-Confusion Topic Analytics
Course Knowledge Base Index
🎯 Target Users
Universities & Colleges
EdTech Platforms
Online Bootcamps
STEM & Professional Training Academies
Corporate Learning & Development Teams
✅ Educational Impact
Faster doubt resolution for students
Reduced repetitive Q&A load for instructors
Better visibility into concept-level weaknesses
Creation of a living, searchable academic memory
Higher engagement and learning outcomes
🧪 Example Use Case
A student posts a doubt: “How does Big-O work for nested loops?”
AI generates a first-pass answer using course notes.
Other students refine or upvote the answer.
Instructor validates the best response.
The question becomes a permanent part of the course knowledge base.
Analytics flags this topic as a high-confusion concept.
🏗️ System Architecture (High-Level)
Student Question
↓
Semantic De-Duplication
↓
RAG Answer Generator
↓
Community Refinement
↓
Instructor Validation
↓
Course Knowledge Base
↓
Confusion Analytics Dashboard
🔐 Security & Trust
Role-based permissions
Audit logs for instructor edits
AI + Human verification loop
Abuse detection & spam filtering
Responsible AI design for education
🚧 Project Status
This project is under active development and evolving with new capabilities in:
Advanced analytics
Multi-course RAG
LMS integrations
Cohort-level learning intelligence
🤝 Contributing
Contributions are welcome in:
Frontend UI/UX improvements
AI accuracy tuning
Analytics dashboards
LMS integrations
Accessibility enhancements
Fork the repo, create a feature branch, and submit a PR.
📬 Contact
If you’d like to collaborate, pilot ScholarFlow in an institution, or extend it commercially:
📧 Reach out via GitHub Issues or Discussions.
⭐ If You Find This Useful
Give the repo a ⭐ and help improve AI-powered education for everyone.