US Veterans
A comprehensive web application built to support U.S. veterans throughout the VA claims and career preparation process. The platform combined a structured VA claims knowledge base, document and form workflows, AI-powered resume generation, a context-aware chatbot, text-to-voice capabilities, credit-based subscriptions, and an administrative platform for user engagement and marketing automation.
Case study
Overview
Served as the Technical Lead for a veteran-focused legal assistance platform designed to help U.S. veterans navigate the VA claims process and improve their career opportunities. Led the technical implementation of the Next.js application, AI-powered features, chatbot context architecture, credit-based subscription system, document workflows, text-to-voice functionality, and administrative dashboard. The platform provided veterans with claim-related educational resources, access to required VA forms, AI-assisted resume generation, and a context-aware chatbot focused specifically on VA claims and the user's profile.
Case study
Problem
Many veterans face a complex and document-heavy VA claims process and may struggle to understand the required steps, documentation, and terminology. The client, a veteran himself, wanted to build a platform that could make this information easier to understand and provide veterans with practical assistance in one place. The platform also needed to support career preparation through resume creation while providing personalized AI assistance without allowing the chatbot to drift away from the application's VA claims context. Additionally, administrators needed visibility into user activity and a way to manage marketing communication without relying heavily on manual processes.
Case study
Solution
Built a centralized veteran-support platform combining educational VA claims resources, document workflows, AI-assisted resume creation, personalized chatbot assistance, and text-to-voice capabilities. Users could access claim-related information, request required forms through email, generate resume sections using AI, and interact with a chatbot whose context was specifically designed around VA claims and the application's knowledge. The AI interaction layer was further designed to incorporate relevant user-profile information to provide more personalized responses. A credit-based usage model was implemented using Stripe, allowing users to access free credits before purchasing additional usage. An administrative dashboard provided user interaction visibility and marketing capabilities, which were later connected with n8n to automate communication workflows.
Architecture
System overview.
Implemented a structured Next.js application using SSR, SSG, and CSR according to the requirements of different application sections. The application followed a clean component and layout architecture with separated presentation, business, and data-access responsibilities. AI functionality was integrated through a context-controlled chatbot architecture using Model Context Protocol concepts, application-specific knowledge, and user profile context. AWS SES handled transactional and form-related email delivery. Stripe managed the credit-based payment system. The administrative layer provided user interaction monitoring and marketing controls, with n8n later integrated to automate repetitive communication and operational workflows.
Implementation
Key features.
Media
Screenshots & details.
Technical decisions
Challenges & solutions.
Designed an AI chatbot with tightly controlled domain context so responses remained relevant to VA claims and the application's capabilities.
Integrated user profile information into the AI context to provide more personalized responses while maintaining the application's domain-specific knowledge boundaries.
Implemented a structured AI assistance workflow for resume generation, including work experience descriptions and professional profile summaries.
Implemented different Next.js rendering strategies including SSG, SSR, and CSR based on the requirements and data behavior of individual application sections.
Designed a credit-based usage model where users could access selected AI features through free credits and purchase additional credits through Stripe after exhausting their free allowance.
Implemented secure and reliable email workflows using AWS SES for delivering requested VA forms and other application communications.
Built an administrative dashboard that provided visibility into user interactions and enabled targeted marketing and offer communication.
Reduced manual administrative work by integrating n8n automation into marketing and communication workflows.
Maintained a clean and scalable frontend architecture while supporting multiple AI-powered and transactional features within the same application.
Outcome
Measured impact.
- — Created a centralized digital platform for veterans to access VA claims information, documents, AI assistance, and career support.
- — Provided personalized AI assistance through domain-specific context and user-profile-aware responses.
- — Enabled veterans to generate professional resume content with AI assistance.
- — Introduced a scalable credit-based monetization model using Stripe.
- — Automated document delivery and communication workflows through AWS SES.
- — Provided administrators with visibility into user engagement and marketing capabilities.
- — Reduced repetitive manual marketing operations through n8n workflow automation.
- — Established a scalable Next.js architecture supporting SSR, SSG, and CSR across different application requirements.