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MN Noor@khaym

500/1000

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Profile rank: lablab Specialist

Next rank: lablab Expert

12

Events attended

5

Submissions made

student

Pakistan

2 years of experience

About me

Student, Frontend, ML, AI, chatgpt ,whisper

Socials

πŸ€“ Submissions

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    Hackathon link

    GithubGuide

    Github guide is a chrome plugin which is using ai21 jurrassic 2 ultra llm model to generate code explanation of code snippets directly on github. and it generates multiple and comprehensive explanation for single code thus reducing the hustle of downloading code on our local system and run it. It automatically detects the github code pages and on one button click generate the code explanation it can generate explanation of any code code no matter what language and framework it is using making it easier for developers, including new contributors, to understand functionality and logic of various code snippets or files

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    Hackathon link

    work assistant

    this project consist of two features build on top of of open ai technology. One feature is to assist users in bug fixer in development board bug section so that when you are struct at any point bug fixer can fix your code or give suggestions. The 2nd feature is to assist the person and in adding modifying deleting boards and boards item just by speaking to assistantVoice assistant provides us the ability to talk to our tables Voice assistant takes instructions from your voice in English and apply them on boards in real time.Most of the time we don’t have our laptops to create boards or modify them and it’s really hard to deal with tables on small screen.

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    Hackathon link

    Service AI

    This project is an automated phone system that converts incoming voice calls into text and passes the transcribed message to an AI language model. The language model, or LLM, is connected to a vector database that contains information about a specific product. The LLM is powered by LangChain, a framework for developing applications powered by language models. LangChain connects the LLM to the vector database and allows it to interact with its environment. When a customer calls, their voice is transcribed into text in real-time and fed into the LLM. The LLM processes the text, retrieves relevant information about the product from the vector database, and generates a response using LangChain. This response is then converted back into speech by using AI Eleven labs api and played to the customer over the phone. This system allows for efficient and accurate handling of customer inquiries without the need for human intervention.

πŸ‘Œ Attended Hackathons

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    ChatGPT API & Whisper API Global Hackathon

    πŸ—“οΈ 48 hours of building (24-26th March) πŸ’» Create innovative new apps with OpenAI's latest ChatGPT and Whisper APIs πŸ’‘ Learn from top AI professionals βš’οΈ Combine new GPT 3,5 Turbo and Whisper APIs to build your AI app πŸ±β€πŸ’» Now is the time to register and let's get started!

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    Open Source AI Hackathon

    πŸ”₯ 48 hours of creation 🦾 Build with Open Source AI models πŸš€ Tutorials and mentors to support you 🀝 Collaborate with the community of AI creators!

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    Plug into AI with AI21

    πŸ—“οΈ This will be a 10-day virtual hackathon from June 28 to July 7 πŸ’» Access AI21 Labs' state-of-the-art language models to build innovative applications πŸ’‘ Meet and learn from AI21 Labs and Lablab experts πŸ‘₯ Join the community and find your team πŸ† Prizes and awards of up to $9500 API credits + $3500 cash ⭐ Receive a certificate of completion for submission πŸ±β€πŸ’» Sign up now! It's free!

πŸ“ Certificates