You will get data science machine learning apps with streamlit gradio dash
Top Rated
Project details
I am happy to have you here:)
I am a veteran Data Scientist experienced in the following domains:
NLP - transformers, BERT, GPT, etc.
Computer Vision - YOLO, CNN, SDD, etc.
Time Series - LSTM, Transformers, etc.
Data Visualization
I can make a data app in the aforementioned domains by using:
Gradio
Streamlit
Dash
Flask
Note:
Please contact me before ordering :)
The apps can be hosted with free hosting for a limited period.
#data apps #data application #deploy #streamlit #gradio #ml #dl #datascience #machinelearning #deeplearning #nlp #computervision #data
I am a veteran Data Scientist experienced in the following domains:
NLP - transformers, BERT, GPT, etc.
Computer Vision - YOLO, CNN, SDD, etc.
Time Series - LSTM, Transformers, etc.
Data Visualization
I can make a data app in the aforementioned domains by using:
Gradio
Streamlit
Dash
Flask
Note:
Please contact me before ordering :)
The apps can be hosted with free hosting for a limited period.
#data apps #data application #deploy #streamlit #gradio #ml #dl #datascience #machinelearning #deeplearning #nlp #computervision #data
What's included
| Service Tiers |
Starter
$95
|
Standard
$135
|
Advanced
$175
|
|---|---|---|---|
| Delivery Time | 5 days | 6 days | 6 days |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $25
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Farhan is gifted and resourceful; he worked his magic to make this project work as expected. I highly recommend Farhan!
About Farhan
AI Solutions Architect | Agentic AI | Full Stack | Cloud | MLOPs
100%
Job Success
Karachi, Pakistan - 5:59 pm local time
Over the past seven years, I've worked with global organizations delivering impactful solutions across multiple domains. For the past three years, I've specialized in architecting and deploying production-grade AI systems—from healthcare platforms processing thousands of patient interactions to multi-tenant SaaS trading systems managing millions in transactions.
What Makes Me Different:
• AI-first, not API-first
I don't just integrate APIs—I build intelligent systems from first principles. Not every problem requires a large language model; in many cases, classical machine learning delivers better latency, lower cost, and higher accuracy. When LLMs are needed, I choose the most effective approach per use case—using managed APIs where speed and scale matter, and fine-tuning open-source models such as Qwen, Gemma, and LLaMA with LoRA and QLoRA via Hugging Face and Unsloth when customization, control, or data privacy is critical.
• End-to-end ownership, from MVP to production
I design and deliver AI solutions end-to-end, including multi-agent orchestration with seamless handoffs, scalable microservices deployed via Terraform across AWS, Azure, and GCP, and selecting the right AI approach for each system component. I independently take products from prototype to fully scalable production—owning AI models, backend services, frontend interfaces, cloud infrastructure, and DevOps—to ensure cohesive, reliable systems that work seamlessly together.
Recent Production Systems I've Built:
• Multi-Agent Healthcare Orchestration: Deployed a HIPAA-compliant urgent-care system with 7+ specialized agents managing patient registration through discharge. Integrated with Cerner/Oracle EMR, handling diagnostic scanning, HPI questionnaires, documentation generation, and real-time compliance monitoring. Stack: Confidential.
• Voice AI Appointment System: Built an inbound/outbound calling agent for healthcare providers that conducts eligibility screening with dynamic workflows (up to 40+ questions per flow), manages real-time slot booking via tool calls, and integrates with internal systems via custom adapters. Technologies: Daily Pipecat AI, LiveKit, Twilio, Deepseek, LangGraph, WebSockets, RabbitMQ, FastAPI microservices, React, Docker, MS SQL, Azure.
• Algorithmic Trading Platform: Created a multi-tenant SaaS delivering real-time buy/sell signals for US equity indices using transformer-based time series forecasting (LSTM, GRU, hybrid ARIMA-LSTM models) with Prophet. Integrated agentic AI for market analysis and trade execution decisions. Technologies: Python, FastAPI, React, PostgreSQL, Redis, LangGraph, Docker, Kubernetes, AWS with auto-scaling infrastructure.
• ETRM Energy Trading System: Single-tenant platform managing position limits, trade surveillance, and OTC trades across ICE and CME exchanges. Integrated agentic AI capabilities for pattern recognition and risk assessment. Technologies: .NET Core, React, PostgreSQL, Kafka, Redis, LangChain, Pinecone, Docker, Azure.
• Agentic RAG & MCP Systems: Implemented Model Context Protocol for an ATS platform and stock-forecasting bot, enabling intelligent context retrieval across distributed data sources. Used Pinecone, Milvus, Elasticsearch, and LlamaIndex for semantic search.
Core Technical Expertise:
• AI/ML Specializations: Multi-agent systems with high-level control (CrewAI, Google ADK, OpenAI Agents SDK) and low-level orchestration (LangGraph, custom frameworks for specialized workflows), LLM fine-tuning (PEFT, LoRA/QLoRA), RAG architectures, computer vision (YOLOv11/v12, OpenCV, MediaPipe), NLP (BERT, RoBERTa, spaCy, NLTK), time series forecasting, predictive modeling with TensorFlow and PyTorch.
• Full-Stack Development: Frontend (React, Next.js, Redux/Zustand, MUI, Tailwind CSS), Backend (Python/FastAPI, Node.js/Express, .NET, PHP), APIs (REST, GraphQL, gRPC), real-time communication (WebSockets).
• Cloud & Infrastructure: Multi-cloud expertise (AWS, Azure, GCP), infrastructure-as-code with Terraform, containerization (Docker, Kubernetes), serverless architectures, cost optimization strategies, VPS management with NGINX.
• Data Layer: SQL databases (PostgreSQL, MS SQL, MySQL), NoSQL (MongoDB), vector databases (Pinecone, FAISS, Milvus), graph databases (Neo4j), ORMs (SQLAlchemy, Prisma), caching layers (Redis).
• LLMOps & AI Platforms: Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic Claude, Gemini AI Studio, Hugging Face ecosystem, Unsloth, LLAMA4, Qwen, Gemma, platform orchestration tools.
• Integrations & Automation: Slack, Discord, Telegram, Twilio, Trello, Google Sheets, Airtable, Make, n8n, Google Drive, etc.
MS in Data Science and seven years of hands-on experience mean I approach problems holistically: understanding business requirements, designing scalable architectures, iterating based on real-world metrics.
#AI-Solutions-Architect
Steps for completing your project
After purchasing the project, send requirements so Farhan can start the project.
Delivery time starts when Farhan receives requirements from you.
Farhan works on your project following the steps below.
Revisions may occur after the delivery date.
Model and app preparation
Training a model and using a pre-trained model Wrapping it with Gradio or Streamlit