Culinary Foods Analytics Ai App
Budget: $1,000 – $1,500 USD
Data Scientist & Web Developer for Advanced Culinary Analytics & Recipe Platform
**Project Overview**:
We aim to build a groundbreaking culinary analytics platform. Using an array of data metrics and social media insights, we will discern the best chefs, cuisines, and restaurants globally. A signature product derived from our platform is a sponsored flick book. This book will not only showcase our key findings but will also feature AI-generated recipes complemented by automated culinary images from Midjourney.
**Business Requirements**:
1. **Culinary Analytics Platform**:
- Develop a dynamic interface that visually presents global and regional culinary rankings.
- Incorporate interactive dashboards tailored to user interests.
2. **Sponsored Flick Book**:
- Craft a beautifully designed flick book featuring AI-generated recipes.
- Integrate automated culinary imagery from Midjourney for each dish.
- Offer sponsorship opportunities for chefs and restaurants.
3. **User-Centric Experience**:
- Ensure a responsive design across various devices.
- Implement mechanisms for user feedback.
**Technical Requirements**:
1. **Data Collection & Processing**:
- Source data from platforms like Yelp, Google Reviews, TripAdvisor, Zomato, and social channels.
- Preprocess data for optimal analysis.
2. **Analytics & Ranking Algorithms**:
- Develop formulas for ranking chefs, cuisines, and restaurants, e.g., \( \text{Score} = w_1 \times \text{normalized rating} + w_2 \times \text{social mentions} + w_3 \times \text{awards} \).
- Deploy NLP models for in-depth analysis of reviews and social media mentions.
3. **AI Integration & Recipe Generation**:
- Integrate with advanced AI LLMs like ChatGPT and Bard to facilitate content creation, dish descriptions, and other textual elements.
- Develop models for generating unique, AI-curated recipes.
- Pair each recipe with high-quality imagery from Midjourney.
4. **Visualization**:
- Utilize tools like Tableau, D3.js, or Plotly for rich data visualization.
5. **Web Scraping**:
- Demonstrate proficiency with scraping tools, adhering strictly to platform terms of service.
**Additional Content Suggestions for the Sponsored Flick Book**:
- **Origin & History**: Delve into the backstory of each dish.
- **Chef’s Tip**: Include insights from sponsoring chefs or derived from AI analyses.
- **Pairings**: Recommend drinks or sides to accompany the dish.
- **User Testimonials**: Spotlight user feedback on AI-generated recipes.
- **Nutritional Facts**: Provide a concise nutritional breakdown.
- **Variations**: Offer alternative takes on the recipe.
**Desired Skills**:
- Extensive expertise in data analytics and AI integration.
- Familiarity with AI LLMs like ChatGPT and Bard.
- Web development and scraping skills.
- Knowledge of the culinary landscape.
**To Apply**:
Share a portfolio of relevant projects, an updated resume, and a thoughtful cover letter outlining your vision for this initiative.
**Project Overview**:
We aim to build a groundbreaking culinary analytics platform. Using an array of data metrics and social media insights, we will discern the best chefs, cuisines, and restaurants globally. A signature product derived from our platform is a sponsored flick book. This book will not only showcase our key findings but will also feature AI-generated recipes complemented by automated culinary images from Midjourney.
**Business Requirements**:
1. **Culinary Analytics Platform**:
- Develop a dynamic interface that visually presents global and regional culinary rankings.
- Incorporate interactive dashboards tailored to user interests.
2. **Sponsored Flick Book**:
- Craft a beautifully designed flick book featuring AI-generated recipes.
- Integrate automated culinary imagery from Midjourney for each dish.
- Offer sponsorship opportunities for chefs and restaurants.
3. **User-Centric Experience**:
- Ensure a responsive design across various devices.
- Implement mechanisms for user feedback.
**Technical Requirements**:
1. **Data Collection & Processing**:
- Source data from platforms like Yelp, Google Reviews, TripAdvisor, Zomato, and social channels.
- Preprocess data for optimal analysis.
2. **Analytics & Ranking Algorithms**:
- Develop formulas for ranking chefs, cuisines, and restaurants, e.g., \( \text{Score} = w_1 \times \text{normalized rating} + w_2 \times \text{social mentions} + w_3 \times \text{awards} \).
- Deploy NLP models for in-depth analysis of reviews and social media mentions.
3. **AI Integration & Recipe Generation**:
- Integrate with advanced AI LLMs like ChatGPT and Bard to facilitate content creation, dish descriptions, and other textual elements.
- Develop models for generating unique, AI-curated recipes.
- Pair each recipe with high-quality imagery from Midjourney.
4. **Visualization**:
- Utilize tools like Tableau, D3.js, or Plotly for rich data visualization.
5. **Web Scraping**:
- Demonstrate proficiency with scraping tools, adhering strictly to platform terms of service.
**Additional Content Suggestions for the Sponsored Flick Book**:
- **Origin & History**: Delve into the backstory of each dish.
- **Chef’s Tip**: Include insights from sponsoring chefs or derived from AI analyses.
- **Pairings**: Recommend drinks or sides to accompany the dish.
- **User Testimonials**: Spotlight user feedback on AI-generated recipes.
- **Nutritional Facts**: Provide a concise nutritional breakdown.
- **Variations**: Offer alternative takes on the recipe.
**Desired Skills**:
- Extensive expertise in data analytics and AI integration.
- Familiarity with AI LLMs like ChatGPT and Bard.
- Web development and scraping skills.
- Knowledge of the culinary landscape.
**To Apply**:
Share a portfolio of relevant projects, an updated resume, and a thoughtful cover letter outlining your vision for this initiative.