Portfolio/Sales Prediction System
Machine LearningMachine Learning

Sales Prediction System

A full-stack sales prediction system using Random Forest model. Predicts future sales based on product data, foot traffic, promotions, and weather conditions. Features FastAPI backend with relational database, and frontend dashboard showing total sales, averages, temperature correlations, and daily breakdowns.

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Project Duration

Nov 2024Nov 2024

Client

Retail ClientNDA

Key Features

Sales forecasting
Weather correlation
Promotion impact
Foot traffic analysis
Interactive dashboard
Multi-product support

Technology Stack

PythonRandom ForestFastAPIPostgreSQLReactData Analytics

Project Metrics

89%
accuracy
100+
products
30 days
forecast

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