Silver Price Prediction Model
An end-to-end machine learning project to predict silver prices for the Indian market, served through a Flask-based REST API.
Problem Statement
Silver prices in the Indian market are influenced by global spot prices, currency exchange rates, import duties, and local premiums. Investors and traders need accurate, timely predictions that account for these India-specific factors to make informed decisions.
Methodology
Built a complete ML pipeline from data collection to deployment. Trained regression models on historical silver price data with engineered features for market-specific factors. Deployed the model as a REST API using Flask, with an Indian market price converter that accounts for exchange rates and local premiums.
Results
Delivered a live prediction API that provides real-time silver price forecasts calibrated to the Indian market. The model captures key price drivers and produces actionable predictions for traders and investors.