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AI/ML

AI Grant Generation Platform

AI-powered grant writing platform that generates high-quality proposals using company context and five different AI models.

Role

Full Stack Developer

Timeline

2024

Stack

Next.jsTypeScriptTailwind CSSShadcn UIPostgreSQLPrismaOpenAIGoogle GeminiCohereClaude AIMistral AINLPAuthenticationSaaS

Overview

An AI-powered grant writing and application management platform that automates the creation of high-quality grant proposals. The system manages organizations, grants, and projects with structured question sets, leveraging multiple AI models for context-aware content generation. Features include prompt customization with company context, historical answer memory, and secure authentication infrastructure for collaborative grant development.

Architecture & Decisions

Multi-Model AI Content Generation

Integrates five leading AI models (OpenAI, Gemini, Cohere, Claude, Mistral) for flexible, high-quality grant application generation. Features intelligent prompt customization using company information, project details, and historical answers as contextual memory. Enables users to auto-generate comprehensive grant applications by selecting company, grant type, and project parameters with AI-enhanced answer refinement.

Secure Grant Management Infrastructure

Built on Next.js with PostgreSQL and Prisma ORM for robust data management. Implements secure authentication middleware and protected API routes for organizational data security. Supports creating and managing multiple companies, grants, and projects with structured question sets. Provides collaborative features for team-based grant writing with version control and answer history tracking.

The Hard Part

Generic AI output doesn't win grants. The hard part was engineering prompts that pull in real company context and prior answers so every generated proposal actually sounds like the organization, not a template.

Outcomes

AI models

5 integrated

Memory

Historical answers

  • Multi-model generation across OpenAI, Gemini, Cohere, Claude, and Mistral
  • Context-aware prompting using company and project history
  • Secure multi-tenant data model for organizations, grants, and projects
  • Collaborative, version-tracked team grant writing

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