parham's Projects
Formalization of circuits made of components and connections using Computer vision techniques to create a semi-automatic recognition system
Nowadays, the Prediction of house prices is one of the hot subjects in Machine Learning tasks. Unfortunately, there is no data set like those data set in Kaggle for predicting houses of Tehran which is the capital of Iran.
This project is the complete workflow of providing and maintaining the life cycle of a model using MLflow to classify Tumor which is detected in CT-Scan Images with deployment of the model
NLP-Big-Data-Book-Classification
In this project, NLP techniques are used to process and analyze text data, extract relevant features, and build predictive models.The primary objective of the project is to develop a machine learning model that can automatically classify messages or text documents as either "spam" (unsolicited or unwanted messages) or "ham" (legitimate messages).
NTA-LLM(No Teacher Assistant - Language Learning Model): Build a powerful Query PDF Question Answering System application. the forces of Apache Cassandra, DataStax's Astra DB as a vector database, LangChain, Streamlit, the GPT-4 were combined to create a game-changing solution.
Nowadays, Automatic plant watering system is one of the hottest topic of IOT. The system irrigates your plant even if you are on a vacation.
Text Summarization is a crucial and top Natural Language Processing task that involves generating concise and coherent summaries of longer pieces of text. It enables quick information retrieval and comprehension, making it invaluable for dealing with large volumes of textual data.