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You will get BBC Youtube Channel Generative AI Question Answers

Muhammad S.Status: Offline
Muhammad S.
Preview imagePreview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad, priced and ready to go.
Muhammad S.Status: Offline
Muhammad S.
Preview imagePreview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad, priced and ready to go.

Project details

Welcome to the BBC AI Chat Bot repository! This project features an AI-powered chatbot for the BBC YouTube channel, offering access to transcripts from 4,588 videos, covering content from September 2022 to June 18, 2024.

Features

 • **AI Chat Bot**: Interact with an AI chatbot tailored for the BBC YouTube channel.
 • **Extensive Transcript Database**: Access transcripts from 4,588 videos.
 • **Multi-Language Support**: Get transcripts in English and other languages.

Getting Started
To get started with the BBC AI Chat Bot, follow these instructions.
Usage

Interact with the AI chatbot to explore the BBC YouTube channel content. You can access transcripts from a wide range of videos and request them in various languages.

Accessing Full Transcripts

If you need full transcripts of all 4,588 videos.

Demo

Check out the live demo on request
AI Development Type
Knowledge Representation
AI Tools
NVIDIA AI Platform, PyTorch
AI Development Language
Python

What's included $10,000

These options are included with the project scope.

$10,000
  • Delivery Time 1 day
  • Number of Revisions 2
    • AI Model Integration
Optional add-ons You can add these on the next page.
Additional Revision
+$100
Muhammad S.Status: Offline

About Muhammad

Muhammad S.Status: Offline
Lead Software Developer
Karachi, Pakistan - 12:39 pm local time
Greetings! I'm Muhammad Suleman, a seasoned Solution Cloud Architect, Software Engineer with 18 years of diverse experience in software engineering, DevOps, and the creation of cutting-edge web and mobile applications. My expertise encompasses Cloud technologies (Azure, AWS), transactional web applications, DevSecOps, and Agile development.

Key Highlights:

💡 Proven track record of leading and supporting teams in managing Cloud environments (Azure AWS) and implementing DevSecOps practices.
🎓 Holder of an Engineering degree in Computer Science and well-versed in a range of technologies, including C#, Node JS, Python, .Net, AWS, Azure, DevSecOps, and more.
📱 Successfully led a mobile application development team, resulting in the design, development, and deployment of three applications on AppStore and Google Play.

Technical Proficiency:

🛠 Full-stack software delivery, database design, and expertise in technologies such as Oracle, SQL Server, MongoDB, Entity Framework, Asp.Net, JavaScript, MVC, Asp.Net Core, and more.
🌍 In-depth knowledge of Cloud services: App Service, Azure Functions, Azure Service Fabric, Azure SignalR Service, Azure SQL, and more.
Actively involved in the implementation of Generative AI, Large Language Models (LLMs), and other GenAI solutions.
Proficient in Prompt Engineering.
Skilled in building LLM-based solutions on cloud platforms such as Azure, AWS, or GCP.
Familiarity with various models including GPT 4.0, LLaMa, Mistral, and others.
Experience working with multiple Vector Databases.
📊 Specialized in ETL processes, data pipelines, and data warehousing using Pandas, Numpy, and Scikit-Learn.

Projects:

🌟 HolidayGenie: SOA, SOAP architecture.
🌐 Affinity for Business and Affinity Water: Serving 2 million customers.
📈 Data Warehouse Analytics Project.
📱 Mobile Applications: Tenup, Bryt, Nebbex.

Develop an application where you can upload your data locally and query it LangChain-ChatGPT-Data-Inquiry
(Python, ChatGpt, LangChain, LangSmit)

chatwithsqlserver check this one, you can directly connected Generative ai to Sql server and other databases

Streamline your generative AI model evaluation with MLFLOW and DagsHub
Custom data model fine tuning using the ChatGpt Fine-tuning
Deployment on AWS SageMaker

Kaggle data leodeveloper

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Immediately

Only client cloud configuration required and client data integration required

Review the work, release payment, and leave feedback to Muhammad.