ConsumerTrend Analyzer

B.Tech Research Project | Python & NumPy
SYSTEM STATUS: ANALYZING
> Loading dataset: consumer_behavior_2026.csv... Done.
> Applying NumPy filters for trend identification...
> Correlation Matrix calculated (r = 0.87).
> Ready for visualization.
Mean Purchase Value

₹4,250

↑ 8.4% Variance

Retention Rate

64.2%

Alpha: 0.05

Data Points Processed

854,000+

NumPy Vectorized

Sentiment vs. Purchase Intent
Demographic Split