InsightEngine

Transforming Open-Ended Student Feedback into **Actionable Improvements** using Generative AI and NLP.

The Four Pillars of Insight

Contextual NLP Engine

Processes unstructured feedback, accurately categorizing every response by topic: teaching style, course content, infrastructure, etc.

Precision Sentiment Detection

Detects positive, negative, and neutral tones, allowing educators to quickly identify areas of success and critical pain points.

Actionable Suggestion AI

Automatically recommends concrete improvements by aggregating and synthesizing recurring negative themes across all submissions.

Real-time Visual Dashboard

Intuitive graphical faculty dashboard to track feedback trends over time, filter by topic, and compare performance.

Submit Student Feedback

Refine your rough opinion with AI assistance before submitting for clean, effective data.

Your Details (Required for Eligibility)

Name (Private): PRN Number (Required for Eligibility):

Your Branch:

Year (Private):

Feedback Content

Primary Feedback Area: Paste Rough Opinion:

Using local storage for persistence.

Instant AI Analysis & Refinement:

Start by entering feedback and clicking 'REFINE OPINION'.

Admin Dashboard

Real-time stream of all student feedback and AI analysis.

Feedback Session Controls

Target Branch (Filter):

Max Submissions Allowed:

Submission Start Time (24h):

Submission End Time (24h):

Status: ---

Target: ---

Count: --- / ---

Attendance Eligibility Management

Set Full PRN Prefix (Max 12 Digits)

Min. Attendance Required (%)

Student PRN Number (Full 14 Digits)

Attendance Percentage

Use this section to add or update student attendance records. Records must match the 14-digit PRN structure.

Total Submissions

Analyzed by InsightEngine

Overall Positive Sentiment

Score out of 100

Sentiment Breakdown

Topic Breakdown

Sentiment Trend (Last 20 Submissions)

Individual Feedback Stream (Newest First)

No student feedback submitted yet.