You will get a Medical Simulation for Training
Project details
A medical training simulation engine supporting text, voice, and video inputs. Scenarios progress through timed phases — including case intro, CPR, airway checks, and decisions — with automatic transitions. Phase types include Listen, Action, Question, and Decision. Video is processed during action phases only (1 fps; analyzed every 3s via pose detection). AI provides real-time feedback while patient vitals update dynamically. Sessions are stored in Supabase, tracking actions, scores, and phase progress. Users receive a final performance score on completion.
Machine Learning Tools
PythonWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 5 days
- Number of Revisions 0
- Number of Model Variations 0
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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BS
Brant S.
May 5, 2026
AI Pinecone LangGraph Work
Shubham was amazing to work with, we plan to work with him more in the future and is top of our list of people to recommend and to repeat work with.
BS
Brant S.
Dec 31, 2025
Python Developer for creating API libraries
Very adaptable and very adept at a number of different domains, really enjoyed working with him and the work he did!
About Shubham
AI Developer| Voice AI Agent| AI Automation| AI Integration Expert |AI
100%
Job Success
Noida, India - 12:20 am local time
Available 30+ hrs/week | Real-World AI Experience
I build AI systems that run in production — not demos or prototypes.
Most recently shipped a production AI SaaS platform with 55+ Claude-powered task types, 200+ API routes, 95+ React components, and real-time streaming — processing live data through structured multi-step AI pipelines. Also built a 4-agent autonomous system where AI agents coordinate daily through scheduled crons, governance rules, and self-learning feedback loops.
WHAT I BUILD
Multi-Agent AI Systems
Built production multi-agent pipelines using Claude, OpenClaw, and Paperclip. Agents with defined roles, communication channels, budget controls, and audit trails. Systems that run autonomously and evolve their own strategy.
AI-Powered SaaS Products
Full stack — Next.js, TypeScript, Supabase (PostgreSQL), Claude API, Tailwind CSS, Vercel. From Figma designs to deployed product. Structured AI pipelines that generate personalized outputs from user data — not generic chatbot wrappers.
AI Automation & CRM Integration Production n8n workflows with multi-step LLM chaining, conditional branching, Gmail/Calendar triggers, and database sync. Bidirectional CRM integrations with deduplication and conflict resolution.
Backend & Data Pipelines
Python, Node.js, FastAPI, real-time streaming with Redis/Kafka, PostgreSQL, MongoDB. Scheduled cron jobs, webhook handlers, retry logic, and rate limiting. Built for reliability at scale.
STACK
AI: Claude API (Opus + Sonnet), OpenAI, Prompt Engineering, RAG, LangChain
Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: Python, Node.js, FastAPI, NestJS
Database: PostgreSQL, Supabase, MongoDB, Redis
Automation: n8n, OpenClaw, Trigger.dev
DevOps: Docker, AWS, Vercel, CI/CD
I am selective about the projects I take on. The ones I do, I deliver exceptionally well. If you need AI that actually works at scale, let us talk.
Steps for completing your project
After purchasing the project, send requirements so Shubham can start the project.
Delivery time starts when Shubham receives requirements from you.
Shubham works on your project following the steps below.
Revisions may occur after the delivery date.
First I will research the whole scenarios and give document to you.