VEDA
A 38-node autonomous n8n pipeline that aggregates daily current affairs from 10 Indian news RSS feeds, scores each article for competitive exam relevance (UPSC, SSC, Banking), auto-generates MCQ practice questions per article using LLMs, and delivers structured daily briefs and a weekly AI quiz to Telegram — fully hands-free at $0/month.
10 Indian RSS feeds
News Sources
$0 /month
Operating Cost
38 autonomous nodes
Pipeline Nodes
10 Indian RSS feeds
News Sources
$0 /month
Operating Cost
Overview
VEDA (Versatile Exam Daily Analyser) is a 38-node autonomous n8n pipeline designed for UPSC, SSC, and Banking exam aspirants. It monitors 10 Indian news RSS feeds daily, analyses each article using Gemini Flash (with Groq as automatic fallback), grades articles by exam relevance on a 1–10 scale, auto-generates 2 MCQ practice questions per article, deduplicates articles across runs, saves everything to a structured Google Sheet database, and delivers a formatted morning brief to Telegram at 7 AM IST — plus a weekly AI-curated quiz every Sunday. Operating cost: $0/month.
Technical Architecture
The workflow is designed as a single 38-node master workflow — not split into sub-workflows — to keep all state (staticData) accessible to every node including the weekly quiz chain. Two Schedule Triggers are used: daily at 7 AM IST (main) and Sunday-only at 7 AM IST (weekly quiz).
Schedule Trigger
Daily 7 AM IST
10 RSS Feed Nodes
Indian current affairs sources
Merge Chain
3 Merge nodes (n8n max 10 inputs each)
Filter + Dedup
Keyword filter + staticData cross-run dedup
Gemini AI (Primary)
gemini-flash-latest · 1,500 req/day
Groq Fallback
llama-3.1-8b-instant · 14,400 req/day
Quality Gate
Exam Score ≥ 7 filter
Google Sheets
16-column database + Trends + Error Log tabs
Telegram Brief
Morning daily brief + weekly Sunday quiz
AI Relevance Scoring & MCQ Generation
Gemini Flash analyses each filtered article and returns a structured JSON: exam_score (1–10), one of 10 exam categories, a 2-sentence summary, 3 key_points (pipe-separated), and two full MCQs with 4 options each and the correct answer as exact option text. The single AI call replaces what would take a human content curator 2–3 hours daily.
Stateful Cross-Run Deduplication
n8n's $getWorkflowStaticData('global') persists between separate workflow executions — unlike regular variables which reset each run. Every article URL is stored in seenLinks on save, and the next day's run skips any URL already in the set. The last 500 links are kept to bound storage. The same article can never appear in the brief twice.
Groq Fallback Chain
Gemini HTTP Request node is configured with 'On Error: Continue (use error output)' — on any failure, execution routes to Groq Setup node which reads articles from staticData and builds a Groq-compatible request. Normalize Groq converts Groq's choices[0].message.content format back to Gemini's candidates[0].content.parts[0].text format — Code Node 3 (Parse) handles both identically.
Telegram Delivery & Anti-Crash
Daily brief shows top 7 articles with emoji category headers, relevance fire rating (🔥 for 9+/10, ⭐ for 7–8/10), 130-char summary, first key point, MCQ 1 + answer, and Read More link. Weekly quiz uses aiText.replace(/\*/g, '') to strip all AI-generated asterisks — a single unclosed * in Telegram Markdown (Legacy) crashes the entire send node.
Performance Benchmarks
PIPELINE NODES
38
RSS FEEDS
10 sources
DAILY DELIVERY
7 AM IST
OPERATING COST
$0 / month
Results & Impact
Daily Automated Current Affairs
Competitive exam aspirants receive a structured, scored, MCQ-enriched brief at 7 AM IST every day — replacing 1–2 hours of manual news scanning with a 2-minute Telegram read.
MCQ Practice Generation
2 practice MCQs auto-generated per article with exam-category classification and exact-text answers — building a growing MCQ bank in Google Sheets updated every day.
Zero-Cost Autonomous Operation
Runs on free API tiers (Gemini Flash + Groq + n8n Cloud) with automatic AI failover and stateful deduplication — fully hands-free at $0/month.
“Turning the day's news into tomorrow's exam preparation — autonomously.”
Up next — ARIA