AI Integration Expert Needed for SafaQat -- 2
Budget: $3,000 – $5,000 USD
Current System
● Backend: Utilizes the Spring Boot framework to manage application logic, APIs, and
business processes.
● Frontend:
○ Mobile App: Developed using Flutter, ensuring cross-platform compatibility.
○ Web Interface: Built with Angular, providing a responsive and dynamic user
experience.
● Database: PostgreSQL serves as the primary data storage system, handling all
transactional data.
● Notifications: Firebase manages push notifications, keeping users informed about
tender updates and other relevant activities.
● WhatsApp Integration: Twilio’s WhatsApp Business API facilitates communication and
interactions via WhatsApp.
● Hosting: Deployed on DigitalOcean Cloud infrastructure, leveraging its scalability and
reliability features.
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Proposed Enhancement
● AI-Driven Conversational Interface: Transition to an AI-based system using OpenAI to
enable users to publish tenders through conversational interactions (text or voice).
● Multimodal Interaction: Support both text and voice inputs and responses to cater to
diverse user preferences.
● Language and Accent Support: Implement voice recognition that understands English,
Omani accent, Hindi, and Farsi.
● Intelligent Categorization: Automatically identify tender categories and prompt users
for any missing or incomplete information.
● Seamless Integration: Maintain and enhance existing integrations with Firebase, Twilio,
and DigitalOcean, ensuring smooth interoperability with the new AI components.
Goals and Objectives
● Enhance User Experience: Provide a more intuitive and engaging way for users to
publish tenders, reducing the friction associated with traditional form-filling.
● Increase Efficiency: Automate data extraction and validation processes, minimizing
manual errors and speeding up tender publication.
● Expand Accessibility: Support multiple languages and accents to cater to a broader
user base, including non-English speakers.
● Improve Engagement: Utilize conversational AI to make interactions more natural and
responsive, fostering higher user satisfaction and retention.
● Backend: Utilizes the Spring Boot framework to manage application logic, APIs, and
business processes.
● Frontend:
○ Mobile App: Developed using Flutter, ensuring cross-platform compatibility.
○ Web Interface: Built with Angular, providing a responsive and dynamic user
experience.
● Database: PostgreSQL serves as the primary data storage system, handling all
transactional data.
● Notifications: Firebase manages push notifications, keeping users informed about
tender updates and other relevant activities.
● WhatsApp Integration: Twilio’s WhatsApp Business API facilitates communication and
interactions via WhatsApp.
● Hosting: Deployed on DigitalOcean Cloud infrastructure, leveraging its scalability and
reliability features.
----------------
Proposed Enhancement
● AI-Driven Conversational Interface: Transition to an AI-based system using OpenAI to
enable users to publish tenders through conversational interactions (text or voice).
● Multimodal Interaction: Support both text and voice inputs and responses to cater to
diverse user preferences.
● Language and Accent Support: Implement voice recognition that understands English,
Omani accent, Hindi, and Farsi.
● Intelligent Categorization: Automatically identify tender categories and prompt users
for any missing or incomplete information.
● Seamless Integration: Maintain and enhance existing integrations with Firebase, Twilio,
and DigitalOcean, ensuring smooth interoperability with the new AI components.
Goals and Objectives
● Enhance User Experience: Provide a more intuitive and engaging way for users to
publish tenders, reducing the friction associated with traditional form-filling.
● Increase Efficiency: Automate data extraction and validation processes, minimizing
manual errors and speeding up tender publication.
● Expand Accessibility: Support multiple languages and accents to cater to a broader
user base, including non-English speakers.
● Improve Engagement: Utilize conversational AI to make interactions more natural and
responsive, fostering higher user satisfaction and retention.