AI-Powered Wellness Discovery Platform
PanaceaFinder
Aggregating wellness-provider information, managing location-aware search experiences, and synchronizing structured business data introduced scalability and operational consistency challenges.
An AI-powered wellness and beauty discovery platform enabling users to search, discover, and explore wellness services, health conditions, and beauty providers through intelligent search and scalable operational workflows.
Project profile
Role
Lead Backend & AI Engineer
Timeline
2025 - Present
Client/Company
Vera Brock & Oleg
Stack
PythonFastAPINext.jsPostgreSQLGemini AILangChainLLM WorkflowsPDF ExtractionWeb ScrapingDocker
Gemini AI + LangChain
AI Systems
Wellness Discovery
Platform Type
FastAPI + Next.js
Primary Stack
Overview
A deeper summary of the product, system, or engagement.
PanaceaFinder is a wellness and beauty discovery platform designed to help users discover wellness services, beauty providers, health-focused businesses, and personalized wellness experiences through intelligent search and operational discovery workflows.
The platform enables users to search wellness providers based on services, health conditions, business names, and location-aware discovery experiences. Customers can explore wellness categories such as spa services, massage therapy, reflexology, acupuncture, body contouring, skincare, and holistic wellness providers through a modern search-driven experience.
A major engineering focus was designing scalable AI-assisted search and discovery infrastructure using FastAPI services, Gemini AI workflows, LangChain orchestration pipelines, and intelligent data-processing systems. The platform leveraged AI-assisted extraction workflows, PDF-processing systems, and structured metadata pipelines to improve wellness data organization and operational discovery experiences.
The system also integrated scraping workflows for wellness business aggregation, provider information synchronization, and operational content enrichment. AI-powered extraction pipelines processed structured and unstructured wellness information into searchable operational datasets.
FastAPI-powered backend services handled asynchronous AI-processing operations, search orchestration, scraping systems, PDF extraction workflows, and operational platform services. PostgreSQL infrastructure managed wellness listings, provider metadata, customer discovery workflows, and operational platform datasets.
Next.js-powered frontend experiences delivered responsive wellness discovery interfaces, intelligent search systems, operational dashboards, and location-aware user experiences optimized for scalable consumer interactions.
Dockerized infrastructure and modular AI-processing services enabled scalable deployment environments and operational reliability for realtime wellness discovery workflows.
Architecture and solution
Core summary
Designed scalable FastAPI services, AI-assisted metadata extraction workflows, scraping pipelines, and optimized PostgreSQL search infrastructure to improve operational discovery performance and structured provider intelligence workflows. Next.js Frontend, FastAPI Backend APIs, Gemini AI Integration, LangChain Processing Pipelines, PDF Extraction Systems, Web Scraping Infrastructure, Search & Discovery Layer, PostgreSQL Database, Dockerized Infrastructure
Highlights
- Designed scalable FastAPI services, AI-assisted metadata extraction workflows, scraping pipelines, and optimized PostgreSQL search infrastructure to improve operational discovery performance and structured provider intelligence workflows.
- Next.js Frontend, FastAPI Backend APIs, Gemini AI Integration, LangChain Processing Pipelines, PDF Extraction Systems, Web Scraping Infrastructure, Search & Discovery Layer, PostgreSQL Database, Dockerized Infrastructure
Capabilities and focus areas
The detail pages now surface the delivery depth, not just the headline summary.
Features and capabilities
- Architected scalable FastAPI backend services for operational discovery workflows.
- Built intelligent wellness search and provider discovery systems.
- Integrated Gemini AI workflows for AI-assisted search experiences.
- Implemented LangChain orchestration pipelines for AI-processing operations.
- Developed PDF extraction and structured metadata-processing systems.
- Built scraping workflows for wellness-provider aggregation and synchronization.
- Designed scalable PostgreSQL schemas for wellness listings and operational datasets.
- Developed Next.js-powered responsive discovery interfaces and operational dashboards.
- Implemented location-aware search and filtering workflows.
- Managed Dockerized deployment environments and operational infrastructure systems.
Engineering focus areas
- Backend architecture & APIs
- Infrastructure & deployment workflows
- Performance optimization
- Realtime WebSocket coordination
Outcomes and impact
A more complete record of what the work enabled or improved.
- Built scalable wellness discovery infrastructure.
- Implemented AI-assisted provider search and operational discovery workflows.
- Designed scalable scraping and metadata synchronization systems.
- Improved wellness-provider discovery using intelligent search infrastructure.
- Built structured operational systems for wellness business management.
- Centralized wellness discovery and provider information workflows into a unified platform.
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