[DMP 2025]: AI-First Transformation for TAP Operations #725
Description
Ticket Contents
Description
Project Context
The Apprentice Project (TAP) is a nonprofit working to transform government and low-income schools through holistic, choice-based learning across Visual Arts, Performing Arts, STEM (Coding & Science), and Financial Literacy. As TAP scales, the organization is embedding an AI-first culture to enhance internal productivity, decision-making, and collaboration. This internship project supports that shift.
Problem Statement
TAP seeks to implement AI-powered solutions to optimize internal operations. The problem involves identifying automation opportunities, rapidly prototyping solutions using no-code/low-code and AI tools, and facilitating organization-wide adoption. The goal is to accelerate TAP's transformation into an AI-first nonprofit.
Goals & Mid-Point Milestone
Goals
- Map AI opportunity landscape across verticals: People, Product, Partnerships, and Operations
- Build and test 3–5 functional prototypes using tools such as GPT, LangChain, Zapier, Make, Whisper, or N8N
- Pilot prototypes with respective teams, collect feedback, and iterate
- Create documentation, "how-to" guides, and implementation playbooks for broader adoption
- Explore AI integrations with tools such as Keka (HRMS), Discord, TAP website
Setup/Installation
Setup requirements will depend on chosen tech stack and tools. Contributors should have:
- Python development environment
- Access to AI tools (OpenAI API, LangChain, etc.)
- No-code/low-code platforms (Zapier, Make, N8N)
- Development tools for web applications (Node.js, React if applicable)
- Docker for containerization
Expected Outcome
- Real-world experience solving tech-ops challenges in a fast-paced nonprofit setting
- Exposure to AI tooling and integration in real internal workflows
- Insights into the workings of a mission-driven organization
- Mentorship from experienced leaders at TAP
- Portfolio development via impactful, implemented prototypes
- Certificate on completion; performance-based opportunities for future roles
Acceptance Criteria
- AI Opportunity Map across at least 3 TAP functions
- 3–5 Working Prototypes (e.g., internal bots, dashboards, automations)
- Documentation and How-To guides
- Implementation Playbooks for organization-wide rollout
- Exploratory use case reports for integrations (Keka, Discord, TAP site)
Implementation Details
Proposed Solution/Approach
Map AI opportunity landscape across verticals: People, Product, Partnerships, and Operations
Build and test 3–5 functional prototypes using tools such as GPT, LangChain, Zapier, Make, Whisper, or N8N
Pilot prototypes with respective teams, collect feedback, and iterate
Create documentation, "how-to" guides, and implementation playbooks for broader adoption
Explore AI integrations with tools such as Keka (HRMS), Discord, TAP website
Tech Stack & Skills Required
Must-Have:
Python (hands-on)
Data Structures & Algorithms
Data Analytics (basic data manipulation)
Preferred:
Node.js, React
LangChain, LLamaIndex
Prompt Engineering
Docker
Code generation tools (Claude, Copilot, Replit, Bolt)
Computer Vision (ResNet, CNN, OpenCV)
Retrieval-Augmented Generation (RAG)
Graph Databases / Graph Theory
Reinforcement Learning (plus)
Data Modeling & Architecture (plus)
Mockups/Wireframes
No response
Product Name
AI-First Transformation Suite
Organisation Name
Bandhu
Domain
Education
Tech Skills Needed
Python, Node.js, React, Artificial Intelligence, Machine Learning, Natural Language Processing
Mentor(s)
No response
Category
AI, Machine Learning