SRS Specification v2.4NVIDIA AI & WebRTC PoweredDefense Ready

Final Year Project Defense Preparation Platform

Active Project: Autonomous AI Defense & Evaluation System. Practice multi-tier adversarial mock viva interviews, receive real-time project enhancements, and perform grounded vector Q&A via NVIDIA LLM.

Processed FileIndexed

Autonomous AI Defense & Evaluation System

Candidate: Candidate
Document Sections:3 Parsed

Interview Questions

0

Across 3 difficulty tiers

3 TiersLow, Mid, High

Defense Readiness

88%

Academic Jury Rubric

+12%vs last mock

RAG Sections

3

Grounded chunk index

100%Embedding coverage

AI Viva Engine

NVIDIA LLM

Real-time Evaluation

ActiveLow Latency

Real-Time Defense Analytics & Performance Charts

Interactive graphs, topic mastery distributions, progress gauges, and viva readiness indicators

Overall Metric

Defense Readiness

Jury rubric index

+14% vs Baseline
88%
Proctoring

Trust & Integrity

Anti-spoof optical score

Zero Anomalies
96%
RAG Studio

Vector Grounding

HNSW citation depth

100% Citation Match
100%
Progression

Tier Completion

Low, Mid, High tested

0/0 Answered
92%
Trajectory Curve

Viva Defense Performance & Latency Trajectory

0%25%50%75%100%S1S2S3S4S5S6
Real-Time NVIDIA LLM Evaluation StreamPeak Score: 94% (Latency Optimization)
Vertical Column Analysis

Engineering Competency Mastery

vs Faculty Cutoff (75%)
100%
75% Faculty Cutoff
50%
25%
88%
System
94%
Security
82%
Data
91%
Latency
78%
Adversarial
86%
Oral
Candidate Competency Pass Threshold: 75%
Pie Distribution

Project Domain & Topic Weighting

100% Vector Indexed
4 CoreDomains
Architecture & Design
35%
Protocols & APIs
25%
Security & Failover
25%
Performance & Latency
15%
Vertical Tier Velocity

Question Tier Progression & Velocity

0 Questions
100% Passed
75% Target
50% Average
100% Passed
Tier 1: Low0 Questions
88% Passed
Tier 2: Mid0 Questions
78% Scored
Tier 3: High0 Questions
Avg Oral Defense: 48s

SRS Core Functional Modules

Section 4.1 – 4.3
0 Questions
Module 1 (SRS 4.1)

Mock Project Interview

Adaptive multi-tier viva grilling (Low, Middle, High). Evaluate your oral defense with real-time feedback, grading metrics, and model answers.

3 Categories
Module 2 (SRS 4.2)

Project Enhancement

Automatic architecture review and feature suggestions. Identifies areas for improvement, security gaps, and advanced feature additions.

Vector Grounded
Module 3 (SRS 4.3)

RAG Project Q&A

Semantic retrieval across document chunks. Ask any technical query about your document and get verified, citation-backed answers.

Parsed Project Document Sections

Content extracted from project_document.pdf and indexed for Q&A and question generation

3 Sections Ready
1. Project Overview & Scope#1

Upload your thesis, research paper, or SRS document to automatically extract RAG chunks, generate 36 viva defense questions across Low, Middle, and High tiers, and receive faculty jury evaluations.

2. Architecture & Design Specification#2

The platform analyzes your system architecture, network topologies, database models, and hardware interfaces in real-time.

3. Empirical Testing & Validation Benchmarks#3

Evaluate system latency benchmarks, throughput metrics, fault tolerance, and reliability constraints.