Vaibhav Gupta

Jun 2026 - Jul 2026

Short Project Description – Image Classification System Image Classification System is a machine learning-based application developed to automatically identify and classify images into predefined categories. The system uses Python, machine learning/deep learning techniques, and image processing to analyze image features and predict the appropriate class. It can be used for applications such as object recognition, product classification, and image-based categorization. Vaibhav's Role During Internship Collecting and preprocessing image datasets Performing image resizing, normalization, and augmentation Analyzing and preparing datasets for model training Implementing machine learning/deep learning models Training and evaluating classification models Performing feature extraction and model optimization Testing model performance using appropriate evaluation metrics Visualizing datasets and model results Handling prediction and classification of new images Debugging and improving model performance Documenting the methodology and results Managing project files using Git/GitHub Suggested Project Modules for the Internship Report Phase 1: Requirement Analysis & Problem Definition Phase 2: Dataset Collection & Data Understanding Phase 3: Data Preprocessing & Image Augmentation Phase 4: Exploratory Data Analysis & Visualization Phase 5: Model Development & Training Phase 6: Model Evaluation & Performance Analysis Phase 7: Prediction & Image Classification Phase 8: Model Optimization & Testing Phase 9: Result Analysis & Documentation Phase 10: Final Testing & Deployment