PSA Nashik is Sports Academy in Nashik, Maharashtra. This project is an android app for the academy to manage their students, staff, and courses. It features a clean, user-friendly interface for managing students, staff, and courses, and allows the academy to send notifications to students and staff.

SellerAi is an AI-powered platform designed to enhance e-commerce sales by providing advanced tools for sellers on platforms like Amazon, Flipkart, and Shopify. It offers a comprehensive suite of features aimed at optimizing product listings, generating creative content, and streamlining various aspects of online selling.

This project focuses on AI-powered image generation, transformation, and enhancement using prompt-based image synthesis techniques. It employs advanced Fooocus AI models to generate images from text prompts while supporting image variation, face swapping, and upscaling functionalities. Users can provide specific image prompts and control weights to fine-tune the results.

This program is designed to empower teachers by enhancing their skills in the field of Artificial Intelligence (AI). It covers a wide range of topics, including AI fundamentals, data analysis with AI, AI for question generation, and AI in research. The program includes hands-on projects and practical offline acknowledgments to ensure comprehensive learning.

This project involves performing Exploratory Data Analysis (EDA) on a dataset containing car specifications and pricing details. The analysis includes data cleaning, statistical analysis, and visualization to gain insights into factors affecting car prices and performance. The project focuses on identifying data distributions, outliers, and correlations between key attributes like horsepower, fuel efficiency, and price.

This project develops a machine learning model to predict car prices based on various features such as engine specifications, fuel type, transmission, and mileage. The dataset is preprocessed, analyzed, and used to train regression models that estimate car prices based on input features.

This project implements a Text-to-Image Generator using the Stable Diffusion model, allowing users to generate high-quality images from textual descriptions. It leverages pre-trained deep learning models to create AI-generated images based on user-provided prompts. The project is designed with an interactive interface using Gradio, making it user-friendly for deployment and experimentation.

This project focuses on AI-powered image generation, transformation, and enhancement using prompt-based image synthesis techniques. It employs advanced Fooocus AI models to generate images from text prompts while supporting image variation, face swapping, and upscaling functionalities. Users can provide specific image prompts and control weights to fine-tune the results.