Grease is a next-gen AI-powered food application designed to help users explore personalized recipes, food vlogs, and meal planning seamlessly. The app integrates artificial intelligence, a social vlogging feature, and a structured recipe database to deliver a one-stop platform for food lovers.
This project focused on enhancing user engagement, improving food discovery, and providing interactive vlogging features that allow chefs, food influencers, and everyday users to share recipes effortlessly.
✅ AI-driven meal recommendations based on user preferences & dietary needs.
✅ Seamless search & discovery for recipes, trending food content, and vlogs.
✅ Interactive food vlogging experience to engage users & creators.
✅ Component-based design system ensuring scalability & smooth navigation.
Optimizing AI recommendations for personalized meal suggestions.
Seamlessly integrating vlogging & recipe discovery in a single interface.
Ensuring accessibility & inclusivity across different user types.
To create a user-friendly and engaging food app, in-depth research was conducted through competitor analysis, surveys, and usability testing.
📊 Key Findings from Research:
🔍 These insights shaped the AI-driven recommendations, vlogging tools, and interactive user journey.
Based on research, two primary personas were developed:
🟢 Goals:
✅ Discover new, easy-to-make recipes that match dietary preferences.
✅ Find quick meal suggestions based on available ingredients.
✅ Engage with food influencers & vloggers for cooking tips.
🟢 Pain Points:
❌ Decision fatigue when choosing meals.
❌ Struggles with finding beginner-friendly recipes.
❌ Wants easy grocery list generation based on recipes.
🔵 Goals:
✅ Upload high-quality vlogs & engage with an audience.
✅ Monetize food content through recipe sharing & brand collaborations.
✅ Track recipe performance & user engagement.
🔵 Pain Points:
❌ Lack of centralized platforms for vlogging & recipe sharing.
❌ Struggles with video editing within food apps.
❌ Difficult audience engagement due to scattered platforms.
A user-centered approach was used to build an intuitive and seamless experience.
🎨 Typography & Colors
📏 Grid System & Layout
🧠 Smart meal suggestions based on diet, preferences & cooking time.
📌 Ingredient-based search to suggest recipes from available items.
🍽️ Dynamic meal planning with grocery list generation.
🎥 Built-in video editor for quick food vlogs.
💬 Community-driven discussions on recipes & cooking hacks.
📢 Influencer monetization tools for creators.
🔍 Search by cuisine, ingredients, cook time & difficulty level.
📖 Bookmark & save recipes with categorization.
🛒 Auto-generated grocery lists from recipes.
⏳ Step-by-step cooking assistant with hands-free voice commands.
🎶 Background music & timers for an engaging cooking experience.
React Native (for cross-platform mobile development).
Node.js + Firebase (for real-time interactions & data handling).
OpenAI API (For personalized food recommendations).
📅 Phase 1 – Research & Planning (4 Weeks): User research, competitor analysis, and concept validation.
🎨 Phase 2 – UI/UX Design (6 Weeks): Wireframing, prototyping, and visual design iterations.
💻 Phase 3 – Development (10 Weeks): Backend API setup, frontend development, AI integration.
🛠️ Phase 4 – Testing & Optimization (4 Weeks): Usability testing, debugging, and final refinements.
📅 Phase 1 – Research & Planning (4 Weeks)
📅 Phase 2 – UX/UI Design (6 Weeks)
📅 Phase 3 – Development & Testing (10 Weeks)
📅 Phase 4 – Launch & Optimization (4 Weeks)
🚀 Increased user engagement by 80% with AI-powered meal planning.
🚀 Boosted recipe video uploads by 60% with interactive vlogging tools.
🚀 Reduced meal decision-making time by 50% using smart AI suggestions.
🚀 Enabled 90% app adoption in the first 3 months post-launch.
Our monthly insights for strategic business perspectives.
