Basic AI Chatbot Pricing: A simple chatbot that can answer questions about a product or service might cost around $10,000 to develop.
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An initiative aimed at providing AI-enabled chatbot assistance for homeless or at-risk veterans across U.S. Using natural language, voice input, and smart intent recognition, the system helps portal users receive housing, healthcare, legal, financial, and crisis support
Veterans in crisis have found navigation through the government websites, waiting on helplines, and trying to get the correct programs for the support almost impossible. While certain systems offer services and assistance, few offer an immediate, conversational, and customized solution specific to the barriers of homeless or at-risk veterans. Our goal was to build a solution that makes help feel human, available any time, with no barriers to entry.
The AI Chatbot was developed as an integrated web assistant for NVHS so that veterans and their families can access support by means of a straightforward voice-or-text conversation. It gathers relevant information and determines if the user is eligible to be enrolled in programs like HUD-VASH or SSVF and gives action plans that are customized in real-time.
With crisis identification abilities, location-based service matching, and fully accessible design, the platform helps fill the gap between veteran and support they deserve i.e. fast, reliable, and empathetic.
The chatbot interacts through voice and text, making it accessible to elderly or non-tech-savvy veterans. It captures intent across multiple turns, gathers vital info like veteran status, housing needs, and urgency, and uses that data to match users with support programs like HUD-VASH, VA healthcare, or SSVF. It then suggests tailored action plans based on their location and eligibility, ensuring responses are practical and specific not generic.
The system monitors conversations for signs of crisis like suicidal thoughts or urgent housing needs. When detected, it instantly shares hotline details, request's location info, and alerts NVHS staff via the admin dashboard. After initial interactions, users are prompted to sign in with Google, allowing secure chat history storage. This enables staff to track ongoing cases and provide continuous, personalized support without data loss.
On the platform, the admin can check the chat logs, be alerted to the presence of a high-risk user, and export the veteran information as needed. Designed to assist in case management, the dashboard includes features such as crisis flagging, feedback monitoring, and live notifications.
Conversational AI with Voice/Text Support
Personalized, Location-Based Action Plans
Real-Time Crisis Detection and Alerts
Secure Google Login with Chat History Tracking
Admin Dashboard for Case Monitoring
Integrated Knowledge Base from VA and SSVF Sources
Secure, HIPAA-compliant data handling
Feedback loop for continuous AI model improvement
Challenges
The chatbot had to pull relevant information off thousands of unstructured web pages from VA.gov, HUD-VASH, and SSVF provider directories. These were all different types of formats, and they didn't have any unified access, thus presenting a massive problem to organize the data.
SOLUTIONS
We developed a custom crawler and data structuring pipeline to parse and categorize 6,000+ web pages. The content was grouped by our team into actionable service areas like housing, health care, and legal aid, so the AI could respond with specific and up-to-date info applicable to veterans.
Challenges
Delivering fast, relevant results from a large dataset without slowing down the user experience was essential, especially for time-sensitive queries.
SOLUTIONS
We streamlined the backend to process large datasets efficiently while filtering out low-priority results. This allowed the system to maintain consistent performance with quick response times, even during complex queries.
Challenges
Government sites often contain formal or generic language, making it difficult for AI to return specific, actionable responses based on real user intent.
SOLUTIONS
Our team trained the AI with veteran-centered prompts and examples to improve its understanding of real-world queries. This tuning helped the chatbot identify informal phrasing, stay context-aware, and deliver answers that were focused and helpful.
Challenges
Detecting crises such as suicidal ideation, housing crises, etc. across multiple live conversations, in real time, was a key need.
SOLUTIONS
We integrated sentiment and keyword scanning in real-time for all conversations. When there was an urgency signal, the chatbot would respond with crisis resources, and would send an alert to the NVHS admin dashboard to notify staff before they acted.
Used to build the chatbot interface with a clean, accessible, and responsive user experience optimized for all devices.
Handled the chatbot's server-side logic and API integrations with high performance and scalability for real-time conversations.
Securely stored user session data, chat history, and admin records with structured, reliable data management.
Ensured high availability, speed, and scalability for the entire platform through secure cloud infrastructure.
Sean is an AI/ML Engineer having over 20+ years of collective experience in the Tech industry. He leads end-to-end AI development processes, integrating cutting-edge technologies to deliver user-centric solutions. His expertise spans research, conceptualization, wireframing, interactive prototyping, and the design of intuitive user interfaces.
He is capable of overseeing projects through all stages, from architecture building to crafting actual layouts and focuses on leveraging artificial intelligence for optimal outcomes.
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