GetAI: AI-Powered Barcode Scanner and Chatbot

Demo link - Here

Figma link - Link

Overview

GetAI is an AI-powered barcode scanning system developed by our team for the A2SV Hackathon. Our goal is to provide comprehensive and understandable product information to consumers in Africa, addressing the gap in localized and easily accessible usage instructions, safety guidelines, and detailed descriptions.

Problem Statement

Consumers in Africa face significant challenges in accessing detailed product information, especially in the beauty, healthcare, and food sectors. The lack of localized and easily accessible information can lead to improper product use, health risks, and a lack of consumer confidence. Furthermore, the absence of integration of local languages and cultural relevance complicates this issue, making it difficult for a diverse consumer base to make informed decisions.

Solution

GetAI aims to solve these challenges by offering a user-friendly, AI-driven barcode scanning system that provides detailed product information in multiple local languages. Our solution ensures accessibility, safety, and enhanced consumer trust by delivering comprehensive information about products, including:

• Usage instructions
• Safety guidelines
• Ingredient lists
• Similar product recommendations
• Locally made alternatives

Current Methods of Gathering Product Information

Currently, consumers in Africa rely on various methods to gather product information due to the lack of comprehensive solutions like GetAI:

• Manual Online Searches: Time-consuming and often yielding inaccurate or incomplete results.
• Manufacturer Websites: Limited information and often difficult to navigate.
• Word of Mouth: Recommendations from friends, family, or online reviews, which can be inconsistent.
• Retail Store Assistance: Dependent on the knowledge of retail staff, which can vary.
• Social Media Influencers: Influencer reviews may not be comprehensive or unbiased.
• Local Market Knowledge: Reliance on community recommendations, particularly in rural or less digitally connected areas.

These methods highlight the gaps in accessing comprehensive, standardized, and easily accessible product information, underscoring the need for a robust solution like GetAI.

Why Choose GetAI?

Consumers should choose GetAI over alternative methods for several reasons:

• Comprehensive Information: Advanced AI and LLM technology provide detailed usage instructions, safety guidelines, ingredient lists, similar products, and locally made alternatives.
• Multilingual Support: Support for multiple local languages ensures accessibility to a diverse user base across Africa.
• Accuracy and Reliability: AI-powered system delivers accurate and real-time information, eliminating inconsistencies.
• Ease of Use: Simple barcode scanning functionality and intuitive interface design.
• Alternative Access Methods: Integration of USSD technology allows users with basic mobile phones to access detailed product information.
• Empowerment through Knowledge: Detailed product information helps consumers make informed decisions, promotes safety, and supports local businesses.
• Accessibility: Offline capabilities and mobile-friendly design ensure accessibility in areas with limited internet connectivity.

Target Customer Segments

• Consumers across Africa: Seeking detailed product information for health, beauty, and household items.
• Retailers and Distributors: Enhancing customer experience by providing comprehensive product details and promoting locally made alternatives.
• Government Agencies and Regulatory Bodies: Promoting consumer safety and ensuring compliance through accessible product information.
• Non-Governmental Organizations (NGOs): Empowering communities with product knowledge.
• Mobile Network Operators (MNOs): Offering value-added services through USSD integration, expanding reach to users without smartphones or internet access.

Monetization Strategies

GetAI plans to monetize its product through:

• Subscription Plans: Tiered subscription plans with varying levels of access to features and content.
• Pay-per-Scan Model: Small fee per barcode scan for occasional users.
• Enterprise Solutions: Tailored solutions for large retailers, manufacturers, and distributors.
• Advertisement Partnerships: Targeted advertisements and promotions within the app.
• Data Analytics Services: Anonymized data analytics services for businesses.
• Premium Features and Add-ons: Enhancements like ad-free browsing, exclusive content, or advanced search capabilities.
• Partnerships and Sponsorships: Collaborations with local businesses, NGOs, or government agencies.

Installation and Setup

To get started with GetAI, follow these steps to install the necessary libraries and tools:

1. Ensure Python 3.x is installed on your machine:

   • Download and install Python from the official website.

2. Install FastAPI:

   • FastAPI is required for building the backend of our application. Install it using pip:

     pip install fastapi==0.70.0

3. Install Streamlit:

   • Streamlit is used for creating the front-end of our application. Install it using pip:

     pip install streamlit==1.3.0

4. Install other dependencies:

   • You may also need to install additional libraries. You can find all required dependencies in the requirements.txt file. Install them using:

     pip install -r requirements.txt

5. Run the application:

   • To start the application, navigate to the project directory and run:

     streamlit run app.py

For detailed installation instructions and troubleshooting, refer to our documentation.

Contributing

Currently, GetAI is not an open-source project. However, we welcome contributions from partners and collaborators who share our vision of enhancing consumer access to product information in Africa.

If you are interested in contributing to our project, please contact us at contact@getai.com for more information on partnership opportunities and collaboration.

We look forward to working with like-minded individuals and organizations to further our mission.

Authors

• Obimba Joshua - Obimbaking@gmail.com
• Stephen Kwaku Azongo - stephenazongo77@gmail.com
• Adeniran Owolabi
• Asya Haji: nasbyhajj18@gmail.com
• Ismael Muzemil: ismael.mdev@gmail.com

Acknowledgements

A2SV for hosting the hackathon.