You will get I will build an AI system for medical conversation reports
Project details
I develop AI-powered systems that transform doctor–patient conversations into structured medical summaries and reports in real time. Using advanced Natural Language Processing (NLP) and machine learning, the system extracts symptoms, clinical entities, and key details to reduce documentation time and improve accuracy.
This solution is ideal for telemedicine platforms, healthcare startups, and medical software providers looking to automate clinical documentation workflows. I focus on building scalable, secure, and integration-ready AI systems that can be deployed into real-world healthcare environments.
This solution is ideal for telemedicine platforms, healthcare startups, and medical software providers looking to automate clinical documentation workflows. I focus on building scalable, secure, and integration-ready AI systems that can be deployed into real-world healthcare environments.
AI Algorithms
Gated Recurrent Unit, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced ClassificationAI Development Language
PythonAI Tools
GitHub Copilot, Jasper AIAI Models
ChatGPT, GPT-3, LLaMAWhat's included
| Service Tiers |
Starter
$200
|
Standard
$800
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | - | - | |
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | - | |
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | - | |
Setup File | - | - | |
Source Code | - | - |
Frequently asked questions
About Yogesh
AI Healthcare Systems Architect | Computer Vision | Real-Time
Noida, India - 10:06 pm local time
I help **healthcare and medical technology companies** build **AI-powered systems that operate in real time from smart medical devices to intelligent monitoring and diagnostic platforms.
My expertise lies in combining **Artificial Intelligence, Computer Vision, and embedded hardware** to create **production-ready medical AI systems** that are fast, reliable, and built for real-world use — not just research demos.
I specialize in developing **medical-grade AI architectures** that run efficiently on edge devices, integrate with sensors, and deliver instant, actionable insights where latency and accuracy truly matter.
Whether you're building a **next-generation medical device**, a **patient monitoring solution**, or a **real-time diagnostic system**, I can help you move from **idea → prototype → deployable product**
• Computer Vision for healthcare and medical applications
• Edge AI & Embedded AI deployment
• Medical-grade AI system architecture
• Real-time AI inference pipelines
• Sensor + AI integration
• AI optimization for on-device performance
• Production hardware + AI system co-design
• Scaling AI solutions from prototype to deployment
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Services I Offer**
✔ AI model development for medical and healthcare use cases
✔ Computer vision systems for diagnostics and patient monitoring
✔ Edge AI deployment on embedded platforms (NVIDIA Jetson, custom boards)
✔ Real-time video intelligence systems
✔ AI + sensor fusion system development
✔ Low-latency, on-device AI optimization
✔ AI integration into production hardware systems
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### **What You Can Expect Working With Me**
🔹 Clear technical communication
🔹 Focus on real-world performance, not just theory
🔹 Systems designed for scalability and production
🔹 Strong understanding of hardware + AI constraints
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### **Let’s Build Something Impactful**
If you're developing an **AI-powered healthcare solution or smart medical device**, I can help turn your concept into a **robust, production-ready AI system**.
Send a message with your project details — I’d be happy to explore how we can build it.
Steps for completing your project
After purchasing the project, send requirements so Yogesh can start the project.
Delivery time starts when Yogesh receives requirements from you.
Yogesh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
review your use case, data format (text/audio), and output requirements to define the system architecture.
AI Model Development
I build and configure NLP models for symptom detection, entity extraction, and clinical summary generation.