A semantic food search web application built with Django, Solr, SBERT, and Docker
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Updated
Apr 14, 2025 - JavaScript
A semantic food search web application built with Django, Solr, SBERT, and Docker
Dynamic recipe website that allows users to explore, discover, and share recipes tailored to their dietary preferences, culinary skills, and allergens.
3rd Year 1st Semester PAF Module Group Project
FoodUP: Food & Restaurant Review Application Using Python & MariaDB
MunchBook is a full-stack food review and analytics app built with Next.js and MongoDB. It allows users to log restaurant visits, rate individual dishes, and get personalized dining suggestions through advanced analytics and visualizations.
A full-stack MERN application where users can browse local foods, add reviews, and manage their dashboard. | Stack: React, Node.js, Express, MongoDB, TailwindCSS
This repository contains my undergraduate thesis done at Department of CSE, BUET
Real-time Battery Status Visualization using PyScript & SBCM Avatar.
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