You will get AI Healthcare Assistant – Personalized Answers from Your Medical PDFs
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Project details
PurposeCare Chat is a powerful AI healthcare assistant that goes beyond simple answers. It analyzes your medical PDFs and delivers personalized, actionable advice from the perspective of a Dentist, Physiotherapist, or Nutrition Doctor. By combining document-aware AI with professional domain knowledge, it identifies concerns, suggests lifestyle modifications, and provides tailored recommendations, helping users make informed health decisions quickly and confidently.
AI Algorithms
Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Regression Analysis, YOLOAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Medical Imaging, AI-Generated Art, Conversational AI, Image Recognition, Natural Language Generation, Natural Language Understanding, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI CodexWhat's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 10 days
- Number of Revisions 2
- AI Model Integration
- Database Integration
- Model Deployment
- Model Documentation
- Model Testing & Optimization
- Model Tuning
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
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CD
Carla D.
Jun 22, 2026
Full Stack AI Engineer
Saad worked with us on a consulting project and we were very happy with his work. He was proactive, communicated very well, and consistently maintained an excellent attitude throughout the engagement. We definitely recommend his services and would love to collaborate with him again as our business needs evolve.
ZF
Zulfiya F.
Mar 5, 2026
Expert in n8n and Vapi for Part-time Project
ZF
Zulfiya F.
Feb 25, 2026
Expert in n8n and Vapi for Part-time Project
AL
Andrew L.
Jan 24, 2026
Next.js Developer + UI Stylist
Saad did a good job and was great to work with.
MJ
Muhammad J.
Aug 14, 2024
Full-Stack Developer with AWS, Next.js, and Node.js Expertise
Saad did an excellent job on our project. His thoughtful approach to both front-end and admin interface design is evident. His communication was clear and consistent, and the code he delivered was exceptionally clean and efficient.
About Saad
Full Stack AI Engineer | N8N,Claude, MCP, RAG, AI Agents & Automations
100%
Job Success
Lahore, Pakistan - 9:26 pm local time
I build faster using modern AI-powered dev tools delivering production-ready apps in significantly less time without compromising on code quality or architecture.
I have built systems for sales automation, lead management, voice AI, and internal operations using OpenAI, Claude, MCP, LangChain, vector databases, and automation platforms like n8n, Make, and Zapier. I also use modern AI development workflows with tools like Claude and Cursor to rapidly build MVPs while ensuring the systems are scalable, reliable, and production-ready for real business use. I help startups and product teams move from idea → MVP → production → scale with clean architecture, intelligent automation, and AI integrations designed for long-term growth.
Cursor · Lovable · v0 by Vercel · Claude (Anthropic) GitHub Copilot · Replit Agent
WHERE I DELIVER MOST VALUE:
→ AI SaaS MVPs (idea → production-ready system)
→ AI agents (sales, support, healthcare, automation)
→ RAG systems over enterprise/private data
→ CRM + lead generation automation pipelines
→ Legacy system modernization & refactoring
→ API-first backend architecture for scalable products
→ Workflow automation using n8n + LLM orchestration
→ Rescue & fix broken / abandoned systems
TECH STACK:
AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Claude
LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain
Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma
Inference Optimization: vLLM, TGI, TensorRT-LLM
Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts
Quantization: AWQ, GPTQ, GGUF, GGML
RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant
Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks
LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK
BACKEND SKILLS :
Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API.
Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore.
Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design.
Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure.
Experienced with Nest.js for enterprise-grade server-side applications.
LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations.
Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines.
Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping.
Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium.
FRONTEND SKILLS :
Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends.
Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA).
Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs.
AI SAAS & AUTOMATION PRODUCTS:
Revenue OS (Sales & Revenue Intelligence System)
AI-powered internal revenue system for multi-brand company. Handles lead intake, AI lead scoring, CRM routing, deal tracking, payments, ad spend, quoting (RFQ → PDF), and automated P&L reporting with role-based access control.
Tech: Next.js, Supabase (Postgres), Pipedrive API, Stripe, QuickBooks, Slack, Fulfil, OpenAI/Claude
→ Notion Transcript Intelligence Pipeline (Multi-Agent System)
Claude-based multi-agent system that converts meeting transcripts into structured Notion knowledge with decisions, actions, and insights. Includes safety layer, audit trail, and sequential agent redesign for reliability.
Tech: Claude (Agentic system), Notion API, Google Drive API, Python, LLM orchestration
→ AI Inbound Call Automation System
Voice AI system that handles inbound calls, qualifies leads, creates CRM entries, and schedules meetings automatically.
Tech: n8n, Vapi, Twilio, OpenAI, GoHighLevel
→ Agentic AI Deal Intelligence System (Real Estate)
Processes emails (Gmail) and PDFs into structured deal data, extracts financial metrics, scores opportunities, removes duplicates, and generates daily summaries + email drafts.
Tech: Claude, MCP, Gmail API, PDF parsing, Python, LLM agents
→ AI Avatar Video Generator System
End-to-end system that turns images into talking avatar videos with automated script, voice, and rendering pipeline.
Tech: OpenAI, ElevenLabs, HeyGen, Next.js
HOW I WORK:
→ Quick scoping call before commitments
→ Milestone-based delivery (no vague timelines)
→ Weekly working demos
→ Transparent communication throughout
→ Production-first mindset (not prototypes)
💡 Have an idea? I turn it into a working product
Steps for completing your project
After purchasing the project, send requirements so Saad can start the project.
Delivery time starts when Saad receives requirements from you.
Saad works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements & Gather Documents
Review client-provided documents and project goals