This project analyzes synthetic beverage sales in Germany to identify trends, improve decision-making, and optimize revenue. The dataset includes sales transactions from 2021 to 2023, covering key metrics such as revenue trends, regional performance, product sales, and customer segmentation (B2B vs. B2C).
The best mate-lemonade on campus!
A web app to search for any beverages
I designed Eatopia, a visually appealing and user-friendly restaurant website, to enhance the dining experience for customers. The goal was to create a seamless, modern, and engaging platform that showcases the restaurant’s menu, ambiance, and unique offerings.
Dashboard providing financial insights for Green Beverages
A full-stack web application for conducting beer preference studies with real-time data collection and analysis.
Maahol is a vibe-first discovery engine for India, helping users find curated spots based on mood, lighting, and sound profiles
An inventory site with Android app
WallDrink is a smart management system built with Django and React, designed to monitor, control, and visualize market operations through a modern web interface.
A machine learning web application that classifies beverage quality based on various characteristics. Built with Streamlit for the frontend, FastAPI for the backend, and scikit-learn for machine learning.
SIPS is an immersive 3D web showcase that lets users explore global beverages through interactive sections like flavor, ingredients, making process, nutrition, and seasonal recommendations.
A fully functional web application for the Beverages Project using react which essentially is a platform where users can view, search for, and learn more about different beverages.
Unified beverage search across 7 FYI sites — Python library & CLI. Zero dependencies.
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