Sahil Ichake's repositories
Document-Summarization-App-using-LLM
Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.
Indian-Crime-Data-Analysis-Forecasting
Conducted data analysis, statistical analysis, and data visualization on an Indian crime dataset. Applied various machine learning algorithms to gain insights from the data. Utilized Time-Series models for prediction and forecasting based on the crime data analysis.
Data-science
Activities to perform for Data Analysis
Gender-Voice-Classification
Determining a person’s gender using Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machine and Decision Tree. Finally concluding that Random Forest is the best algorithm with 99% accuracy.
Q_-_A_with_Multiple_PDFs
Q & A with multiple pdf App is a Python application that allows you to ask questions about the PDFs you upload using natural language model to generate accurate answers to your queries.
Toxic-Comment-Classification
Build a model that detect toxic comments and different types of toxicity. Using Natural Language Processing and LSTM model. Deploying the model using Gradio app.
Traffic-Sign-Recognitions-
Convolution Neural Network model to recognize traffic signs by processing the images that containing traffic signs.