Job Description:
CURRENTLY LOOKING FOR DEVELOPER PRICES AND TIME ESTIMATES
We are seeking a skilled mobile app developer (or team) to build an AI-powered app similar to Cal AI, focused on product recognition, barcode scanning, and personalized recommendations. The app will allow users to upload photos of products or scan barcodes, which will then be analyzed using AI to recommend better or cheaper alternatives.
The goal is to create a seamless user experience where users can quickly identify products and find the best deals or high-quality alternatives based on price, reviews, and other factors. This will involve integration with external APIs for product information, price comparisons, and AI-driven recommendations.
Key Features:
Image Recognition:
Users can upload product images, and the app should recognize the product using AI.
The app should suggest similar or better alternatives based on price, quality, and reviews.
Barcode Scanning:
Integrate a barcode scanner that can scan products and retrieve product details from a comprehensive product database.
The app should automatically search for cheaper alternatives or better-quality products based on the scanned barcode.
Product Matching & Recommendations:
AI-driven matching algorithm to provide users with better or cheaper alternatives.
Recommendation based on product price, quality, and customer reviews from various e-commerce platforms.
Integration with external APIs like Amazon, eBay, Walmart, etc., for real-time product data, prices, and reviews.
Personalized User Experience:
Personalized recommendations based on user preferences (e.g., preferences for organic products, higher quality, or lower price).
Allow users to save favorite products and set price drop alerts.
Price Comparison:
Access to real-time price data from multiple retailers.
Suggest where the product can be bought at the lowest price, with options to directly link to retailers.
User Interface & UX:
Clean and simple UI/UX similar to Cal AI, with a focus on fast and accurate results.
Easy navigation between different product categories and personalized recommendations.
Additional Features:
User accounts: Allow users to create profiles, save searches, and access a history of scanned/uploaded items.
Push notifications: Notify users about price drops, new product recommendations, or discounts.
Review integration: Include user reviews and ratings for suggested products.
Technical Requirements:
Platforms:
iOS and Android mobile apps (React Native or Flutter preferred for cross-platform development).
Web version (optional but desirable).
Image and Barcode Recognition:
Google Cloud Vision API or Amazon Rekognition for image recognition.
ZXing or Google Vision for barcode scanning.
Back-End:
Node.js, Python, or other back-end frameworks for handling API calls and storing user data.
Integration with Amazon, Walmart, eBay APIs for product data.
Database:
Use PostgreSQL or MongoDB to store user information, product data, and preferences.
AI/ML Component:
Use GPT-4 (or similar NLP model) to generate personalized product descriptions and recommendations based on the user’s input.
Train models for better product matching using datasets with product prices, reviews, and attributes.
Security & Privacy:
Ensure secure data handling and privacy compliance (e.g., GDPR) for user accounts and personal information.
Implement authentication (e.g., OAuth, JWT) for user accounts.
Budget & Timeline:
Budget: Open to proposals, but looking for high-quality work at competitive rates. Please include a detailed breakdown of costs.
Skills Required:
Experience with mobile app development (iOS & Android).
Expertise in AI, image recognition, and barcode scanning technologies.
Knowledge of integrating with e-commerce APIs and building recommendation systems.
Strong background in building clean, intuitive UI/UX designs.
Understanding of security, data privacy, and user authentication.
Deliverables:
Fully functional app with image recognition, barcode scanning, and recommendation features.
Clean, responsive UI/UX.
Back-end server for product matching and integration with external APIs.
Documentation for all code, APIs used, and deployment steps.
Location: Anywhere
Posted: Sept. 9, 2024, 9:49 a.m.
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