You will get SEO Based AI Content Generation Application
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Project details
You will get an AI-based Content Generator, that will generate content for your blog with images, and the required SEO tags, Summary,
AI Algorithms
Large Language ModelAI Applications
AI Content Creation, AI Text-to-ImageAI Development Language
PythonAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, Midjourney AI, Stable DiffusionWhat's included
| Service Tiers |
Starter
$400
|
Standard
$700
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 0 | 2 | 5 |
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
+$200 - $600
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About Mudassir
AI Expert, LLM | RAG | Agents | MCP | n8n | OpenAI | Claude | Gemini
100%
Job Success
Dubai, United Arab Emirates - 1:13 pm local time
6+ Years, AWS and Microsoft Azure Certified AI/ML Specialist, I am focused on building Advanced AI applications around Large Language models (GPT, Claude, Llama, Gemini, Azure OpenAI, etc.), and have compiled some of the most cutting-edge features in AI, RAG, and NLP to cater to specific domains and complex applications.
My process to future-proof your business involves,
1. Setting up your data in the best possible format.
2. Optimizing your AI infrastructure for a more deterministic (yet creative) flow in the probabilistic domain of AI.
3. Developing a scalable architecture that anticipates growth.
4. Delivering cost-effective solutions and long-term support.
5. Prioritizing Data Security and Compliance at each increment.
As a contributor to Langchain, LlamaIndex, LangGraph, n8n, and other supporting frameworks, I've significantly engaged with the open-source LLM/RAG library space and continually participate in the LLM/AI community.
My Expertise lies in custom AI Agents, Chatbots, Voice AI Agents, and Workflow Automations to make your business/product 10x more efficient.
🎓 Advanced proficiency in the following domains,
✦ Model Deployment
✦ Model Fine-tuning
✦ Knowledge Extraction
✦ Structured Data Query (Connect your database with LLMs)
✦ AI Voice/Speech Agents
✦ MCP & A2A (Connect your APIs and AI Agents)
✦ GraphRAG
✦ RAG Enhancement
✦ Prompt Engineering
✦ Long-term Memory and Continual Learning (For an LLM/AI, context is gold)
✦ LLM Performance Analysis (Evaluation, Governance, and Monitoring)
🔧 𝗖𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝗶𝗲𝘀
● AWSxAzure Administrator & Solutions Architect
- Prioritizing security and compliance, we have built many Azure-only AI Solutions for medium to large-scale enterprises.
● ChatGPT/OpenAI-Based RAG Applications
● LLMOps (Architecture/Development):
- Langchain, LlamaIndex, Haystack, AdalFlow, GraphRAG, LangGraph
- Cohere, Ollama, Anyscale, Groq, Deepspeed, SentenceTransformer, PyTorch
- Any vector database (Pinecone, ChromaDB, Milvus, Qdrant, Weaviate, Azure Search)
- AWS SageMaker, Amazon Bedrock, Amazon Q, Azure OpenAI & AI Studio,
- Training & Fine-tuning: DPO, RLHF, PPO, PEFT (LoRA, QLoRA)
● Text-to-speech and Speech-to-text: OpenAI Whisper, Google TTS, ElevenLabs, Murf AI, Deepgram, Amazon Polly, Azure TTS
● Python Backend (Flask, Django, FastAPI, Streamlit, Dash, PyQT & Tkinter for GUI)
● Secondary Languages: C#, JavaScript/Typescript, Rust.
● Datastores: MongoDB, PostgreSQL, Redis, DynamoDB, Elasticsearch, Azure CosmosDB
● Linux Server Administration (Amazon-Linux, Debian-based, RHEL),
● Web Servers: Apache2, Nginx
● Containerization and Orchestration: Docker, Docker Swarm, ECS, Kubernetes (Across major Cloud Vendors)
● AWS Serverless: API Gateway, Lambda, SNS, CloudWatch, CloudFront, S3, DynamoDB
● IaC: Cloudformation, Terraform, Ansible
● CI/CD: Jenkins, GitHub Actions, AWS CodeDeploy/CodeBuild, GitLab.
● CRM Integrations: Zendesk, GoHighLevel, HubSpot, Bitrix24.
● Integration and Automation: n8n, Make.com, Zapier, etc.
● Real-Time Data and API Integration
💼 Some mainstream industries and business domains that I have worked with,
✦ CRMs
✦ Healthcare
✦ Operations
✦ Education, Edtech
✦ Legal (Regulation, Compliance, Consultancy)
✦ Real Estate
✦ Retail & E-commerce
✦ Travelling and Hospitality
If you are trying to build an MVP for an AI Project, my guide to you would be,
"The best way to start is just by building on top of... whatever the best model is... Don’t worry about [cost or latency] at first. You’re just trying to validate the idea."
Today, generating and structuring great ideas is easier than ever. What truly sets teams apart now is execution. I’ve developed a robust framework with my experience that enables rapid design and development of AI-first applications, turning ideas into impact with speed and precision.
Let's transform customer experience, unlock data intelligence, and solve complex business problems together.
Book my consultation if you're new to the concept and want to save several hours searching for the right direction.
Steps for completing your project
After purchasing the project, send requirements so Mudassir can start the project.
Delivery time starts when Mudassir receives requirements from you.
Mudassir works on your project following the steps below.
Revisions may occur after the delivery date.
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