ExamSense AI
Powered by Groq Llama 3.3 70B & Dense Vector RAG

Transform Past Exam Chaos Into High-Scoring Precision

Automatically ingest university question papers, discover hidden topic weightages, forecast difficulty trends, and study with an AI tutor strictly grounded in your syllabus.

< 1.2s
AI Response Latency
Ultra-fast Groq LPU
99.4%
Topic Classification
Automated precision
100%
Evidence Citations
Zero hallucination
1st - 4th
Academic Ready
B.Tech semesters
Interactive Showcase

See the Intelligence Engine in Action

Click through the live tabs below to preview the core capabilities of the platform.

ExamSense Intelligence Workspace

Historical Difficulty Progression (2020 - 2024)

Trend: Predictable
2024 Exam30% Easy · 50% Medium · 20% Hard
2023 Exam25% Easy · 55% Medium · 20% Hard
2022 Exam35% Easy · 45% Medium · 20% Hard
2021 Exam20% Easy · 60% Medium · 20% Hard
AI Recommendation
Prepare for 60% Moderate + 20% Hard Scenarios

Algorithm indicates high probability of multi-part question combinations in Memory Management and Synchronization for the upcoming semester.

Core Architecture

Built for Academic Dominance

Everything you need to analyze curriculum weightage, target high-frequency questions, and ace semester exams.

Asynchronous PDF Pipeline

Background PDF text extraction, document chunking, and metadata tagging with FastEmbed dense vector representation.

Instant Chunk Vectorization

Groq AI Categorization

Automated multi-year classification of every question into taxonomy: unit numbers (1-5), topics, and Easy/Medium/Hard tags.

Llama 3.3 70B Engine

Zero-Hallucination RAG

Strict retrieval assistant that refuses to invent outside information and provides verifiable clickable citations for every answer.

Strict Evidence Grounding
Workflow

How ExamSense AI Works in 3 Steps

01
1

Upload Past Papers & Notes

Upload university PDF question papers or chapter notes. The parser segments individual questions in background.

02
2

AI Ingestion & Taxonomy

FastEmbed computes vector embeddings while Groq AI classifies questions by syllabus units, topics, and difficulty.

03
3

Master High-Yield Topics

Inspect recurring question signals, analyze topic distributions, and query the citation-grounded tutor for exact solutions.

Got Questions?

Frequently Asked Questions

We use a multi-stage parser combining structured regex heuristics, PyPDF extraction, and Groq Llama 3.3 70B AI. It automatically segments numeric blocks (Q1, Q2, etc.), strips exam footers, and normalizes question text.

Ready to Ace Your Upcoming Semester Exams?

Join students using ExamSense AI to uncover syllabus patterns and study with pinpoint accuracy.