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AI-Driven Charitable Organization Selection Platform for Non-Profit Campaigns
  1. case
  2. AI-Driven Charitable Organization Selection Platform for Non-Profit Campaigns

AI-Driven Charitable Organization Selection Platform for Non-Profit Campaigns

future-processing.com
Non-profit
Marketing & Advertising
Technology Development

Challenges in Efficiently Matching Donors with Suitable Charities

The client faces difficulties in quickly identifying and verifying credible NGOs across multiple countries and categories, which hampers the efficiency of their charitable campaigns. Manual processes are time-consuming, resource-intensive, and lack personalization, affecting donor engagement and campaign outcomes.

About the Client

A mid-sized non-profit organization specializing in facilitating charitable donations and social campaigns, seeking to enhance donor engagement and streamline NGO selection processes.

Goals for Enhancing Charity Selection and Campaign Impact

  • Develop an AI-driven web platform with an integrated chatbot to assist users in selecting NGOs aligned with their values.
  • Automate the search and verification of over 580 NGOs across multiple countries (EU, UK, Ukraine) and categories (people, environment, technology), reducing processing time from weeks to hours.
  • Implement a personalized, multilingual chatbot capable of understanding user preferences, asking clarifying questions, and providing tailored charity recommendations.
  • Create a recommendation system that promotes popular NGOs based on user votes and preferences.
  • Streamline data collection and vote tallying to enable quick funding decisions post-campaign.
  • Reduce manual effort and resource expenditure in campaign management while increasing stakeholder engagement.

Core Functionalities for the NGO Selection and Voting System

  • AI-powered chatbot capable of conducting engaging and context-aware conversations in multiple languages.
  • Search and verification engine for NGOs, including credibility checks and categorization by country and cause.
  • Dynamic recommendation system that considers popularity and user preferences to prioritize NGO suggestions.
  • Voting mechanism integrated with the chatbot, recording preferences and votes in a dedicated database.
  • Responsive web design optimized for desktop (main focus) with support for multiple resolutions and languages.
  • Admin interface for NGO data management, campaign monitoring, and vote analysis.

Technological Foundations and Architectural Preferences

Container orchestration platforms (e.g., Docker, Kubernetes) for deploying scalable chatbots
AI language models or LLM systems for natural language understanding
Content management system based on WordPress and Elementor for rapid UI development
Multilingual support frameworks
Responsive web design principles

External Systems and Data Integrations Needed

  • External NGO databases for search and verification
  • User data sources for geolocation and language preferences
  • Secure payment and donation processing systems
  • Analytics and reporting tools for campaign monitoring

Performance, Security, and Usability Standards

  • System scalability to handle concurrent users, aiming for high availability and minimal downtime
  • Response time for chatbot interactions under 2 seconds
  • Secure data handling and compliance with GDPR standards
  • High accuracy in NGO verification and credible data processing
  • Responsive design ensuring usability across multiple resolutions and devices

Projected Business Benefits and Campaign Outcomes

The implementation of an AI-powered NGO selection platform is expected to significantly reduce data processing time from weeks to hours, increase user engagement through personalized interactions, and optimize donation allocation based on real-time voting data. This approach aims to enhance campaign transparency, boost stakeholder participation, and improve overall social impact metrics, similar to achieving over 700 votes for more than 530 NGOs and efficient resource utilization.

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