Request for Proposals: Developer for a Simple AI-Based Product Recognition App
Budget: €1,500 – €3,000 EUR
Project Brief:
Development of a Minimalist, Cost-Efficient Product Recognition App
The aim is to create a simple, streamlined mobile application that identifies a product’s manufacturer and production location via an AI service (Mistral AI). There should be no user accounts, no complex backend, and minimal overhead to ensure swift development and cost-efficiency.
It's very simple app, similar to https://madeometer.com.
The user takes a photo of a product, and the app provides the name of the manufacturer and where it is produced.
Output example:
“Zweifel Chips Provencale
?? Zweifel Pomy-Chips AG, Spreitenbach
?? Made in Switzerland
Note: This information is generated by AI and may contain errors.”
Payment model
• 2 queries are free. After that, credits must be purchased.
• 1€ for 10 queries / 10€ for 200 queries / 2.50€ “Buy me a coffee” donation.
Implementation
• The entire implementation should be completed in max 2 weeks, with a maximum total price of €2000.
• No fancy design is needed; the app should be as straightforward and streamlined as possible.
• Image recognition and result output are handled solely via the Mistral AI API.
Platforms and Payment
• Apps for the Apple App Store and Google Play Store.
• In-app purchases in the respective stores for buying credits.
⸻
Detailed Function Description of the App:
1. Core Features
1. Camera and Photo Upload
• Users take or upload a photo of a product directly from their device.
• Simple, uncluttered interface with only essential options.
2. AI Recognition (Mistral AI)
• Photo data is forwarded to the Mistral-AI API for product/manufacturer/location information.
• Results are displayed as a concise text output ("Product, Manufacturer: flag + text …, Location: flag + text… Disclaimer: AI-generated”)
Output example:
“Zweifel Chips Provencale
?? Zweifel Pomy-Chips AG, Spreitenbach
?? Made in Switzerland
Note: This information is generated by AI and may contain errors.”.
• Explicitly note that information is AI-generated and may be inaccurate.
3. Credits System (No App-Specific Accounts)
• Each new user receives 2 free queries, stored locally on the device.
• After that, additional credits are purchased via in-app purchases (€1 for 10 credits, €10 for 200 credits, €2.50 donation).
• Credits are managed on the device; no user login is required.
• Should users reinstall or switch devices, they can use the store-specific “Restore Purchases” function to regain any previously bought credit packages.
4. In-App Purchases & Payment
• Integrate Apple App Store and Google Play Store payment methods.
• Display the remaining credits in a straightforward manner (e.g., a small counter on the results screen or in a simple settings panel).
5. Minimalist User Interface
• Only the necessary screens: Intro/Start, Camera/Upload, Results, and Credits Purchase.
• Visual design is intentionally minimal to reduce development time and ensure clarity.
6. Legal & Disclaimer Texts (will be provided)
• Include an Imprint, Privacy Policy, Terms of Service.
• Users must be able to access these texts easily (via an “Info” menu).
⸻
Time Frame and Budget
• Development Timeline: Approx. 1–2 weeks, subject to final agreement and any unforeseen complexities.
• Budget: Up to €2,000, focusing on quick, no-frills implementation with minimal overhead.
⸻
Additional Notes
• No user registration or account creation is required; all functionality is handled locally and through the store’s native purchase mechanism.
• The objective is to produce a functional, user-friendly app with essential features only, minimising both initial development and ongoing maintenance costs.
Development of a Minimalist, Cost-Efficient Product Recognition App
The aim is to create a simple, streamlined mobile application that identifies a product’s manufacturer and production location via an AI service (Mistral AI). There should be no user accounts, no complex backend, and minimal overhead to ensure swift development and cost-efficiency.
It's very simple app, similar to https://madeometer.com.
The user takes a photo of a product, and the app provides the name of the manufacturer and where it is produced.
Output example:
“Zweifel Chips Provencale
?? Zweifel Pomy-Chips AG, Spreitenbach
?? Made in Switzerland
Note: This information is generated by AI and may contain errors.”
Payment model
• 2 queries are free. After that, credits must be purchased.
• 1€ for 10 queries / 10€ for 200 queries / 2.50€ “Buy me a coffee” donation.
Implementation
• The entire implementation should be completed in max 2 weeks, with a maximum total price of €2000.
• No fancy design is needed; the app should be as straightforward and streamlined as possible.
• Image recognition and result output are handled solely via the Mistral AI API.
Platforms and Payment
• Apps for the Apple App Store and Google Play Store.
• In-app purchases in the respective stores for buying credits.
⸻
Detailed Function Description of the App:
1. Core Features
1. Camera and Photo Upload
• Users take or upload a photo of a product directly from their device.
• Simple, uncluttered interface with only essential options.
2. AI Recognition (Mistral AI)
• Photo data is forwarded to the Mistral-AI API for product/manufacturer/location information.
• Results are displayed as a concise text output ("Product, Manufacturer: flag + text …, Location: flag + text… Disclaimer: AI-generated”)
Output example:
“Zweifel Chips Provencale
?? Zweifel Pomy-Chips AG, Spreitenbach
?? Made in Switzerland
Note: This information is generated by AI and may contain errors.”.
• Explicitly note that information is AI-generated and may be inaccurate.
3. Credits System (No App-Specific Accounts)
• Each new user receives 2 free queries, stored locally on the device.
• After that, additional credits are purchased via in-app purchases (€1 for 10 credits, €10 for 200 credits, €2.50 donation).
• Credits are managed on the device; no user login is required.
• Should users reinstall or switch devices, they can use the store-specific “Restore Purchases” function to regain any previously bought credit packages.
4. In-App Purchases & Payment
• Integrate Apple App Store and Google Play Store payment methods.
• Display the remaining credits in a straightforward manner (e.g., a small counter on the results screen or in a simple settings panel).
5. Minimalist User Interface
• Only the necessary screens: Intro/Start, Camera/Upload, Results, and Credits Purchase.
• Visual design is intentionally minimal to reduce development time and ensure clarity.
6. Legal & Disclaimer Texts (will be provided)
• Include an Imprint, Privacy Policy, Terms of Service.
• Users must be able to access these texts easily (via an “Info” menu).
⸻
Time Frame and Budget
• Development Timeline: Approx. 1–2 weeks, subject to final agreement and any unforeseen complexities.
• Budget: Up to €2,000, focusing on quick, no-frills implementation with minimal overhead.
⸻
Additional Notes
• No user registration or account creation is required; all functionality is handled locally and through the store’s native purchase mechanism.
• The objective is to produce a functional, user-friendly app with essential features only, minimising both initial development and ongoing maintenance costs.