contributing as a Project Intern at Infosys Springboard, focused on developing a Hate Speech Detection application. Excited to be part of a dynamic team leveraging cutting-edge technologies to combat online toxicity and promote safer digital spaces.My contributions include:1.Cleaning dataset: Cleaning the dataset was a meticulous process that involved removing duplicates, handling missing values, and correcting errors.2.Pre-processing: Pre-processing the data involved transforming raw data into a format suitable for machine learning models.3.Train the Models: Train the models on the training data.4.Load The saved TF-IDF vectorizer: Load the saved TF-IDF vectorizer to transform new input data consistently.5.Transform the new input data: Use the loaded TF-IDF vectorizer to transform the new input data into the appropriate numerical format.6.Make Prediction: Use the loaded model to make predictions on the transformed input data.7.Classification:Text, Audio, Video classification We've enhanced our capabilities to handle video files by extracting audio, converting it to text, and analyzing it.8.UserInterface With Streamlit: We've designed an intuitive UI using Streamlit, allowing users to input text, audio, or video files and get real-time hate speech detection results.

During my internship as a Salesforce Developer, I had the opportunity to work on several impactful projects, honing my skills and contributing to the organization's success. Below is an overview of my experience: