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Princewill Chibuike's Projects

agent_metagpt icon agent_metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

agents--autoagents icon agents--autoagents

Generate different roles for GPTs to form a collaborative entity for complex tasks.

ai-detection-paraphrases icon ai-detection-paraphrases

Official repository for our preprint "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense" (https://arxiv.org/abs/2303.13408).

ai-writing-detection icon ai-writing-detection

This tool will parse the inputted text into many different existing AI writing detection tools and return the results to you. This is to be able to scan text with as many tools as possible without having to do it manually.

ai_generated_text_checker_app icon ai_generated_text_checker_app

This app Classifies the text generated by AI tools like chatGPT. Roberta-base-openai-detector Model has been used from hugging face to detect ai generated texts.

alx-pre_course icon alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-zero_day icon alx-zero_day

I'm now a ALX Student, this is my first repository as full-stack engineer

bankchatbotdeployment icon bankchatbotdeployment

A simple chatbot that answers to the queries related to the ABC bank. Developed by me and @venki-11

bark icon bark

🔊 Text-Prompted Generative Audio Model

chat-with-pdf-chatbot icon chat-with-pdf-chatbot

This Chatbot is an interactive app developed to assist users to interact with their PDF. It is built using Open Source Stack. No OpenAI is required.

clone_your_voice_vall-e icon clone_your_voice_vall-e

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

corpora icon corpora

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

customer-survival-analysis-and-churn-prediction icon customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

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