Development of the Next-Generation Generative Chatbot for Philanthropy and NGOs
The next-generation generative chatbot is a powerful tool for Philanthropy and NGOs, acting as an assistant for the evaluation of social projects. With the ability to be trained using specific evaluation criteria and analyze documents and images related to projects, this chatbot helps evaluators identify high social impact initiatives, optimizing decision-making and improving organizational efficiency in project selection.
- Social Project Evaluation Assistant
Application:
NGOs and philanthropic organizations can train the chatbot with social project evaluation criteria, such as social impact, economic viability, and long-term sustainability. This allows evaluators to interact with the chatbot to receive recommendations based on these criteria and efficiently compare different projects.
RAG Training: Through the signature /virtualbot/chatbot/rag/AutoTrainingBotByUser, NGOs can upload project evaluation documents, selection criteria, and impact studies to train the chatbot. This enables the system to provide accurate recommendations on the feasibility and impact of social projects.
Example:
{
"user": "project_evaluator",
"company": "foundation_demo",
"topic": "social_project_evaluation"
}
– Interaction: An evaluator can interact with the chatbot and ask, “Which projects have the greatest potential for reducing rural poverty?” The chatbot will offer recommendations based on previously trained social impact criteria, helping the evaluator prioritize projects that maximize social returns.
Benefit: Evaluators can efficiently identify high-impact social projects based on well-defined criteria, optimizing resource allocation and maximizing the impact of investments.
Advantages:
– Efficient project evaluation: The chatbot automates the initial evaluation of projects, reducing the workload of evaluators and allowing them to focus on the most promising initiatives.
– Impact-based recommendations: Trained with social impact criteria, the chatbot prioritizes projects that maximize social outcomes.
– Optimized selection process: NGOs can make faster, more informed decisions about which projects to fund or implement.
- Multimodal Analysis of Project Documents and Images
Application:
The chatbot can analyze documents and graphics related to social projects, such as feasibility studies, impact graphs, or images of ongoing projects, using the signature /virtualbot/chatbot/uploads/analyze. This helps evaluators better understand the quantitative and qualitative data associated with each project.
– Document and Image Analysis: Evaluators can upload documents like impact studies or images showing the progress of a social project. The chatbot will analyze these documents and provide insights into the project’s effectiveness and progress compared to the trained criteria.
Example: An evaluator uploads a graph showing the impact of an education project in rural communities, and the chatbot responds with an analysis: “Educational impact has increased by 30% over the past six months, but there are still gaps in female attendance rates. It is recommended to focus more resources on gender equality in education.”
Benefit: Evaluators can quickly analyze complex documents and graphics, gaining insights into project effectiveness without needing to manually review extensive materials.
Advantages:
– Efficient analysis of visual and quantitative data: The chatbot provides immediate insights into the impact and feasibility of projects through document and image analysis.
– Optimized decision-making: By offering recommendations based on visual and quantitative data, the chatbot enables evaluators to make faster, more informed decisions.
– Facilitates interpretation of complex data: Multimodal analysis helps evaluators better understand the graphs and studies related to project impact and progress.
- Assistant with Memory for Project Tracking and Criteria
Application:
The chatbot can remember previous interactions and the progress of evaluated social projects, using the signature /virtualbot/chatbot/rag/chatbotservice, allowing evaluators to continuously track projects. This is useful for monitoring impact over time and reviewing the selection criteria used in previous evaluations.
– Chatbot Memory: The chatbot can recall previously evaluated projects, their impact metrics, and the recommendations provided. This is useful for tracking ongoing projects or seeing how predicted impacts were achieved in earlier phases.
Example: An evaluator can ask the chatbot, “How has the rural education project progressed since the last evaluation?” The chatbot retrieves data on measured impact and allocated resources, providing an updated analysis of the progress.
Benefit: Continuous monitoring allows NGOs and foundations to efficiently track project progress and adjust strategies if necessary.
Advantages:
– Continuous project tracking: The chatbot provides ongoing, contextualized assessments of project progress based on previous evaluations.
– Resource optimization: The chatbot helps identify areas requiring adjustments or additional resources to maximize social impact.
– Historical memory: Evaluators can consult the project history, facilitating long-term analysis of results and impact.
- Generating Recommendations via Audio
Application:
The chatbot can also receive audio queries through the signature /virtualbot/interpretability/extractInformationFromAudioUser, allowing evaluators or project managers to verbally describe projects or issues. The chatbot interprets the audio and provides recommendations or analysis based on the trained evaluation criteria.
– Audio Interpretation: Evaluators or project managers can record audio describing the status or challenges of a project. The chatbot interprets the audio and generates recommendations on how to improve impact or adjust the project focus.
Example: A project manager records audio saying, “The drinking water project in the community has faced difficulties due to a lack of local resources, how can we adjust our approach?” The chatbot suggests strategies based on similar evaluated projects, such as reallocating funds or changing the project structure.
Benefit: Evaluators and project managers can interact with the chatbot using audio, facilitating work in situations where they don’t have time to write their questions.
Advantages:
– Smoother interaction: Evaluators can verbally describe projects or problems, improving efficiency in high-workload situations.
– Audio-based recommendations: The chatbot provides real-time responses and suggestions based on the information described in the audio.
– Time optimization: By allowing audio queries, the chatbot enhances interaction and reduces the time needed to generate detailed written reports.
- Comparative Project Evaluation Based on Selection Criteria
Application:
The chatbot can act as an assistant for the comparative evaluation of social projects, using previously trained selection criteria such as sustainability, social return on investment (SROI), and impact scope. This allows for quick and efficient comparison of projects.
RAG Training with Evaluation Criteria: Organizations can train the chatbot with the key criteria for selecting social projects so the system can evaluate and compare projects based on their potential impact and sustainability.
Example:
{
"user": "international_foundation",
"company": "foundation_demo",
"topic": "project_comparison"
}
– Interaction: An evaluator can ask the chatbot, “Which project has a better social return on investment, the child health project or the sustainable agriculture project?” The chatbot analyzes both projects based on the trained criteria and offers a detailed comparison of their social impact and feasibility.
Benefit: Comparative evaluation allows organizations to objectively prioritize projects, ensuring resources are allocated to the initiatives with the highest impact.
Advantages:
– Objective project comparison: The chatbot uses trained selection criteria to compare projects objectively, based on quantitative and qualitative data.
– Resource allocation optimization: NGOs and foundations can allocate resources to projects that generate the most impact, maximizing the use of funds.
– Time-saving: The chatbot performs quick, accurate comparative evaluations, saving time in the decision-making process.
Conclusion
This next-generation generative chatbot is a valuable tool for the Philanthropy and NGO sector, helping in the evaluation of social projects and optimizing decision-making. By being trained with specific evaluation criteria, performing multimodal analysis of documents and images, and maintaining long-term memory for continuous project monitoring, the chatbot improves organizational efficiency in selecting and tracking high social impact initiatives. Additionally, by providing smooth interaction through text, images, and audio, the chatbot facilitates comparative evaluation and recommendation generation, ensuring that resources are allocated to projects with the greatest potential for positive societal change.
