ArthSpandan | India Macro Intelligence
Active Feed
GDP Growth
↓ from 8.2%
CPI Inflation
Repo Rate
RBI Policy
INR / USD
↑ Weakening
Exports YoY
Unemployment
Urban CMIE
ML Model Prediction
Confidence:
Slowdown
00%
Stable
00%
Warning
00%
CV Accuracy~80%
Training data52 quarters
AlgorithmEnsemble
Sector Health Click to drill down
Manufacturing (PMI)
00.0
Healthy
Banking & Finance
00.0%
Healthy
Agriculture
0.0%
Healthy
Trade & Exports
00%
Healthy
Employment & Labour
0.0%
Healthy
Foundation Score
Same 18 indicators · transparent threshold check

Unlike the ML model above (a trained ensemble forecasting next quarter), this score is a plain count of how many of the same indicators are currently past a known weak-zone threshold — no prediction, just today's snapshot, fully explainable.

Historical Shock Overlay Real model, run on real historical quarters

See what the same trained model actually output during India's most-discussed slowdown episodes — pulled straight from its own training data, not re-estimated.

Pick a period above to compare it against today.
Demand & Supply Indicators MOSPI · RBI · SIAM · NSE · CGA
Demand Side
Private Consumption (PFCE)
7.0%
YoY Growth · MOSPI
Two-Wheeler Sales
+14.8%
Rural demand proxy · SIAM
Rural Wage Growth
3.8%
Real wages YoY · Labour Bureau
Govt Capital Expenditure
₹12.2L Cr
FY25 Budget · CGA
Supply Side
Core Sector Growth
0.5%
8-core industries · DPIIT
Capacity Utilization
75.6%
RBI OBICUS survey
WPI Inflation
8.3%
Wholesale prices · DPIIT
Corporate Earnings (PAT)
4.5%
Nifty 50 YoY · NSE
Additional Indicators GST · NPCI · Grid-India · Railways · NSE
High-Frequency Indicators RBI · MOSPI · CMIE · MoC
AI Analysis
Click "Run Analysis" to get AI-powered economic insights based on current live indicators.
Learn & Ask
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AI
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Powered by Gemini AI · For educational purposes only · Not official financial advice
About this Project
Research Paper
AI Driven Early Detection of Economic Slowdown in India Using Multi Sector High Frequency Indicators

Presented at NCMPCS-2026, Department of CSE, FOET, Dr. Shakuntala Misra National Rehabilitation University, Lucknow.
ML Model
Ensemble of Random Forest + Gradient Boosting trained on 52 quarterly observations (FY2013–FY2025).
5-fold CV accuracy: 78.6%  |  LOO accuracy: 68.8%
Data Sources
MOSPI (GDP, CPI, IIP, Agri GVA) · RBI (Credit, Repo Rate, Forex) · CMIE CPHS (Unemployment) · S&P Global (PMI) · Ministry of Commerce (Exports)
Tech Stack
Python · Flask · scikit-learn · pandas · Chart.js · Vercel · GitHub Open Datasets (live CPI/GDP)
Built by Kartikey Mishra & Mridul Singh Jadaun  ·  NCMPCS-2026  ·  DSMNRU Lucknow  ·  Data: RBI · MOSPI · CMIE · MoC · S&P Global