🚀 FeedIntel

Smart Feedback. Smarter Institutions.

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🧩 Problem Statement

Institutions regularly collect student and faculty feedback, but most of it remains underutilized.

• Feedback is scattered across forms and spreadsheets
• Manual analysis delays decision-making
• No structured trend tracking or sentiment insights
• Data privacy risks with third‑party platforms

As a result, critical academic decisions are reactive instead of data-driven.

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💡 Proposed Solution

FeedIntel is a self-hosted institutional feedback intelligence platform that transforms raw feedback into AI-powered actionable insights.

It enables institutions to securely collect, analyze, and interpret feedback for smarter academic and administrative decisions.

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✨ Key Features

• 📝 Smart Survey Builder – Structured & open-ended feedback collection
• 🔒 Self-Hosted & Privacy-First – Full institutional data ownership
• 🤖 AI Analytics Engine – Sentiment analysis, trend tracking, keyword insights
• 📊 Interactive Dashboards – Visual analytics for quick understanding
• 🚨 Predictive Alerts – Early detection of declining satisfaction
• 👥 Role-Based Access – Admin, Faculty, HOD level controls
• 🕒 Semester-wise Comparison – Performance trends over time

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⚙️ How It Works

👩‍🎓 Users Submit Feedback ⬇️ 📝 Smart Survey System ⬇️ 🗄️ Secure Data Engine ⬇️ 🤖 AI Analytics Layer ⬇️ 📊 Insight Dashboard ⬇️ 🎯 Data-Driven Institutional Decisions

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🏗️ System Architecture

A modular three-tier architecture ensures scalability and maintainability.

Frontend → Backend → Database             ⬇️           🤖 AI Insight Engine

(Architecture diagram available in /docs folder)

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🛠️ Tech Stack (Planned)

Frontend: React / Next.js Backend: Node.js + Express Database: MongoDB AI Layer: NLP & LLM APIs Deployment: Docker-based Self-Hosting (VPS / Institutional Servers)

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🗺️ Development Roadmap

Week 1 — Planning & Design

• Problem research & solution architecture
• UI wireframes & system design
• Repository setup & documentation

Week 2 — Backend & Database

• API development
• Survey & response schema
• Secure data handling

Week 3 — Frontend Dashboard

• Admin dashboard UI
• Survey builder interface
• Interactive data visualizations

Week 4 — AI Integration & Deployment

• Sentiment & trend analysis
• Insight generation engine
• Docker deployment & testing

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📁 Repository Structure

/frontend   → User Interface
/backend    → APIs & Server Logic
/docs       → Architecture, Designs, Documentation
/assets     → Images & UI Mockups

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📊 Documentation

• 📐 System Design
• 🧠 Feature Specifications
• 🔌 Planned API Endpoints
• 🎨 UI Wireframes

(Available inside the /docs directory)

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🌍 Vision

To empower institutions with secure, AI-driven feedback intelligence that enables continuous academic improvement and proactive decision-making.

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✨ Turning institutional feedback into measurable academic intelligence.