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Sheraz Naseer's Projects

ab-testing-for-marketing icon ab-testing-for-marketing

This repository implements A/B Testing for analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales.

carboxyglutamate icon carboxyglutamate

This repo contains the code for deploying carboxE model using streamlit.

chatapp_qa_lcel_2403 icon chatapp_qa_lcel_2403

This is a FastAPI RAG application that provides a RESTful API for ingesting PDF files, creating a vector database from the text content using Pinecone, and answering questions based on the ingested content using OpenAI's GPT-3.5-turbo model. The application also includes an evaluation endpoint for the RAG (Retrieval-Augmented Generation) model.

dog_breed_prediction icon dog_breed_prediction

The implementation uses pre-trained CNN and transfer learning to develop a Dog_breed_prediction model.

flask_pdf_qa_1 icon flask_pdf_qa_1

A flask based backend using qdrant and Cohere AI for Chat with PDF Document.

image_watermarking_opencv icon image_watermarking_opencv

This repo contains implementation of water mark using OpenCV. The implementation contains adding a logo and text as a watermark.

openai_chatbot_app icon openai_chatbot_app

A multiprompt chatbot with conversational memory using OpenAI API implemented using Streamlit.

openai_clause_classification icon openai_clause_classification

This repository demonstrates the use of OpenAI GPT-3 models including InstructGPT, Ada, Babbage, Curie and Davinci using API. for legal clause classification.

sequence_classification_using_word2vec_dnns icon sequence_classification_using_word2vec_dnns

This repository demonstrates the usage of word2Vec to learn the Vector embeddings of sequences. These embeddings are loaded in Tensorflow based model, which uses them to perform sequence classification. The results are generated using the Matplotlib, Seaborn.

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