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1.3.0

Misbah

Misbah Syed@Misbah

6

Events attended

3

Submissions made

Canada

4+ years of experience

About me

I have worked as a Data Scientist and an MLE since 2019, and have deployed many different ML models to production. I have worked primarily with time series data, and deployed ML applications for manufacturing, saving over $2 million per year in manufacturing waste. I have also helped build infrastructure for ML deployment used in healthcare applications. Currently, exploring building AI-based companies.

I built with

WhisperDALL-E-2GPT-3ChatGPTCodexCohere CoralQdrant

Socials

🀝 Top Collaborators

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Taqi Haider

I am Electrical Engineering graduate, Interested in AI. currently building AI based products and learning new things during this quest.

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Abdul Raheem Shahzad

Gold Medallist Data Science and AI expert.

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Kashif Raza

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Muhammad Arslan Bodla

I am Muhammad Arslan Bodla From Pakistan. I am MSCS In education. Currently I am working as Computer Programmer In GCU Lahore.

πŸ€“ Latest Submissions

    AI Brand Intel

    AI Brand Intel

    Our platform provides businesses with the ability to monitor and analyze social media and news mentions in over 100 languages, all in one place. With our language translation and content intelligence solution, businesses can easily generate responses in their customers' preferred language, stay on top of industry news and trends, and streamline their content management process. Our platform allows businesses to upload their policies and internal documents in over 100 languages, generating chatbots and semantic search engines that enhance customer experience and streamline content management. We are utilizing cohere multilingual embeddings and Qdrant vector DB to generate and save embeddings. A flask-based api backend and a bubble.io based no-code front-end is used to build the solution.

    Hackathon link

    17 Mar 2023

    Chatty Panda

    Chatty Panda

    Chatty Panda is an artificial intelligence-powered tool that enables businesses to provide efficient and effective support to their customers. This chatbot is designed to handle customer queries related to business policies, documents, and other important information in multiple languages. The chatbot is programmed with a company-specific database of information related to business policies, regulations, and documents, which allows it to provide accurate and helpful responses to customer inquiries. With its multilingual capabilities, the chatbot can cater to customers from different parts of the world who speak various languages. Customers can interact with the chatbot through a user-friendly interface and ask questions related to their concerns about company policies. The chatbot uses natural language processing to understand the queries and provides relevant answers in real-time. The multilingual customer representative chatbot is a cost-effective solution for businesses looking to improve customer support and streamline their operations. It reduces the workload of customer service representatives and ensures that customers receive quick and accurate responses to their queries, ultimately leading to higher customer satisfaction and loyalty.

    Hackathon link

    4 Mar 2023

    Ask Quran

    Ask Quran

    Our goal is to develop a system that can take documents in any language and allow users from different parts of the world with different languages to interact with those documents. This can help spread knowledge without any language barrier. We are first testing it out with Quranic text, which is in Arabic, and building a chatGPT-style bot for question answering. In future, we would like to expand it to additional documents in any language. We first perform embedding of the text using Cohere's multilingual embed model and save those embeddings in a vector database, Pinecone DB in our case. We then take user queries and also embed them and perform a similarity-based search to provide the most relevant results based on the query. The app is currently deployed and publicly available. Streamlit app link: https://taqihaider7-tafsir-quran-sementic-search-llm-app-fwh2if.streamlit.app/

    Hackathon link

    3 Feb 2023

πŸ‘Œ Attended Hackathons

    OpenAI Whisper Hackathon

    OpenAI Whisper Hackathon

    Join us for a hackathon where we will be using OpenAI Whisper to create innovative solutions! Whisper is a neural net that has been trained to approach human level robustness and accuracy for English speech recognition. We will be using this tool to create applications that can transcribe in multiple languages, as well as translate from those languages into English. This will be a great opportunity for you to learn more about speech processing and to create some useful applications!

    AI21 Labs Hackathon

    AI21 Labs Hackathon

    πŸ—“οΈ This will be a 7-day virtual hackathon from 13-20 January πŸ’» Access AI21 Labs' state-of-the-art language models to build innovative applications πŸ† Prizes and awards of up to $9000 API credits + $3500 cash πŸ’‘ Meet and learn from AI21 Labs and Lablab experts πŸ‘₯ Join the community and find your team βœ”οΈ All levels are welcome πŸ“– AI tutorials and mentors to help you ⭐ Receive a certificate of completion and Wordtune premium for submission πŸ±β€πŸ’» Sign up now! It’s free!

    OpenAI Stack Hack

    OpenAI Stack Hack

    πŸ—“οΈ This will be a week of hacking and fun from 24 February to 3 March πŸ’» Create innovative new apps with OpenAI's latest AI tools πŸ’‘ Learn from top AI professionals βš’οΈ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app πŸ±β€πŸ’» Now is the time to register and let's get started!

πŸ“ Certificates

    Cohere and Qdrant Multilingual Semantic Search Hackathon

    Cohere and Qdrant Multilingual Semantic Search Hackathon | Certificate

    View Certificate
    Cohere Hackathon

    Cohere Hackathon | Certificate

    View Certificate
    OpenAI Stack Hack

    OpenAI Stack Hack | Certificate

    View Certificate