Personalized AI Marketplace & Social Search
Budget: $1,500 – $3,000 USD
I am looking for skilled freelancers to develop an AI-powered marketplace and social media search platform with a main aim of providing personalized recommendations to its users.
details of your AI-Powered Marketplace and Social Media Search Platform. With this application, users will have a comprehensive tool to search and analyze various online marketplaces, social media platforms, and advertising libraries. By leveraging AI technology, users can upload product photos or use keywords to discover where products are being sold or advertised. Here's a breakdown of the project's features and requirements:
Features:
Search by keyword or photos:
Users can search for products by entering keywords or uploading product photos.
The AI-powered image recognition system will identify the product and extract relevant information.
Marketplace Search:
The application will search popular marketplaces such as Amazon, AliExpress, Alibaba, Shopify stores, eBay, Shein, Temu, TikTok, Instagram, Etsy, and Facebook.
Users will receive comprehensive search results displaying where the product is available across these platforms.
Pricing and Sales Data:
Current prices for the identified product will be fetched and displayed across different marketplaces.
Daily sales data will be collected and presented, providing insights into product popularity and demand.
Supplier Details:
Users will have access to supplier information, including contact details and seller ratings, to make informed decisions.
Products Review:
AI will combine all products reviews and summarize the Pros & Cons
Find winning products:
based on the analysis and demands across the platform and social media
Product Landing page:
Users can export any product and create one products landing page by choosing from templates
Example:
https://pagepilot.ai/
User Dashboard:
Users will have personalized dashboards to manage uploaded images, search history, and saved products.
The dashboard will provide recommendations based on user preferences and previous searches.
Notifications and Alerts:
Users can set up notifications and alerts for price changes, product availability, and new sellers in their preferred marketplaces.
Technology Stack:
Front-end: React (with Redux for state management)
Back-end: Node.js (Express.js framework)
Database: Prisma (with PostgreSQL for data storage)
AI/Image Recognition: TensorFlow or OpenCV
External APIs: Integration with marketplace APIs, Facebook Ad Library, TikTok Ad Library, Google Trends, and Amazon Keyword Tool for data retrieval.
Specific Requirements:
Security:
Implement secure user authentication and authorization mechanisms to protect user data and prevent unauthorized access.
Scalability:
Design the application with scalability in mind to handle a large number of users and concurrent requests.
Performance:
Optimize the application for fast response times and efficient data retrieval from multiple marketplaces and APIs.
User Experience:
Create an intuitive and user-friendly interface, ensuring a seamless experience throughout the application.
Code Quality:
Follow best practices for code organization, documentation, and maintainability to produce clean and robust code.
Testing:
Implement thorough unit and integration testing to ensure the application's reliability and functionality.
Deployment:
Set up a production-ready environment for the application, including continuous integration and deployment pipelines.
References:
• https://thieve.co/
• https://findniche.com/en
• https://ecomhunt.com/
• https://nichescraper.com/
details of your AI-Powered Marketplace and Social Media Search Platform. With this application, users will have a comprehensive tool to search and analyze various online marketplaces, social media platforms, and advertising libraries. By leveraging AI technology, users can upload product photos or use keywords to discover where products are being sold or advertised. Here's a breakdown of the project's features and requirements:
Features:
Search by keyword or photos:
Users can search for products by entering keywords or uploading product photos.
The AI-powered image recognition system will identify the product and extract relevant information.
Marketplace Search:
The application will search popular marketplaces such as Amazon, AliExpress, Alibaba, Shopify stores, eBay, Shein, Temu, TikTok, Instagram, Etsy, and Facebook.
Users will receive comprehensive search results displaying where the product is available across these platforms.
Pricing and Sales Data:
Current prices for the identified product will be fetched and displayed across different marketplaces.
Daily sales data will be collected and presented, providing insights into product popularity and demand.
Supplier Details:
Users will have access to supplier information, including contact details and seller ratings, to make informed decisions.
Products Review:
AI will combine all products reviews and summarize the Pros & Cons
Find winning products:
based on the analysis and demands across the platform and social media
Product Landing page:
Users can export any product and create one products landing page by choosing from templates
Example:
https://pagepilot.ai/
User Dashboard:
Users will have personalized dashboards to manage uploaded images, search history, and saved products.
The dashboard will provide recommendations based on user preferences and previous searches.
Notifications and Alerts:
Users can set up notifications and alerts for price changes, product availability, and new sellers in their preferred marketplaces.
Technology Stack:
Front-end: React (with Redux for state management)
Back-end: Node.js (Express.js framework)
Database: Prisma (with PostgreSQL for data storage)
AI/Image Recognition: TensorFlow or OpenCV
External APIs: Integration with marketplace APIs, Facebook Ad Library, TikTok Ad Library, Google Trends, and Amazon Keyword Tool for data retrieval.
Specific Requirements:
Security:
Implement secure user authentication and authorization mechanisms to protect user data and prevent unauthorized access.
Scalability:
Design the application with scalability in mind to handle a large number of users and concurrent requests.
Performance:
Optimize the application for fast response times and efficient data retrieval from multiple marketplaces and APIs.
User Experience:
Create an intuitive and user-friendly interface, ensuring a seamless experience throughout the application.
Code Quality:
Follow best practices for code organization, documentation, and maintainability to produce clean and robust code.
Testing:
Implement thorough unit and integration testing to ensure the application's reliability and functionality.
Deployment:
Set up a production-ready environment for the application, including continuous integration and deployment pipelines.
References:
• https://thieve.co/
• https://findniche.com/en
• https://ecomhunt.com/
• https://nichescraper.com/