Mood Cookbook is a web application that suggests recipes based on your current mood. Deployed on AWS EC2 with GitHub Actions for CI/CD, it makes cooking fun, personalized, and delightful!
Trying to answer the age old question "What to watch tonight?"
🌈 An advanced Python GUI project that recommends complete outfits based on mood using color psychology, seasonal styling, and user preferences — includes tops, bottoms, shoes, accessories, and modern fashion elements like frocks, maxis, and more.
MovieMood is a sophisticated rule-based expert system that provides personalized movie recommendations using advanced AI inference with 15+ intelligent rules. Built with React, TypeScript, Framer Motion, and Node.js.
A personal Telegram bot built with Python and PostgreSQL that delivers curated voice notes and shayaris based on the user's current mood.
AI coffee & tea advisor • Mood-based brew recommendations • Flavor wheel visualization • Brewing timer • Precise parameters (temp, ratio, steep time) • Powered by Xiaomi MiMo V2.5 • Free • Single HTML
🔎✨✅ Streamlit app that recommends The Office (US) episodes by moods
🍜 解决"今天吃什么"选择困难症 | 多维度智能推荐算法 | 天气+心情+星座+定位 | TRAE SOLO 辅助开发，提效10倍
Food Picker wheel that spins up and suggest meal based on moods along with calorie counts, so you don't have to worry about it and start eating.
Mood-based movie & music recommendation app · Flutter · Firebase · TMDB API · Claude AI · Multi-language
TBR Whisperer is a mood‑based reading assistant that helps you pick one book from your unread shelf without overthinking. It uses a Flask API (backed by a CSV of books with mood and energy tags) and a Framer front‑end: you pick a vibe like “Soft & Slow” or “Chaos & fun,” and the app returns a single random book that matches that mood.
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