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This project focuses on predicting tomato prices and demand using machine learning techniques. It analyzes historical data on tomato prices, seasonal variations, and other relevant factors to make predictions.
Reel Rec - A Movie Recommendation App designed to change the way movie enthusiasts discover and enjoy favorite films. Made using Django & Tailwind CSS.
Django web app for vehicle data analysis with ML models for classification, regression, and clustering. Includes interactive visualizations and geospatial mapping.
A modern, full-stack financial intelligence platform. Built with Next.js & NestJS, featuring a Python ML microservice for NLP categorization and ARIMA-based forecasting. Robust, scalable, and packed with complex data visualizations.
🎬 Intelligent Movie Recommendation Engine powered by RAG, Vector Search, and Google Gemini. Built with React, FastAPI, and Qdrant to understand semantic context beyond simple keywords.
This repository contains a Logistic Regression model designed to predict whether it will rain tomorrow (RainTomorrow) based on various weather-related features from the Weather_Australia.csv dataset. The dataset includes parameters like temperature, humidity, wind speed, and rainfall, all of which are used to forecast the likelihood of rain.