Create Data & AI apps in 20 lines of code with Shimoku

Social Media automation application built on Flask. Uses instagrapi to automate posting at scheduled times, and allows user to make AI generated posts. Twitter API is used in order to allow the user to tweet from the site. Utilizes SQLAlchemy for the login, registration process and database, and includes email verification and forgot password.

Social Media automation application built on Flask. Uses instagrapi to automate posting at scheduled times, and allows user to make AI generated posts. Twitter API is used in order to allow the user to tweet from the site. Utilizes SQLAlchemy for the login, registration process and database, and includes email verification and forgot password.

This demo project contains the CineWave frontend portal and two backend APIs for business logic and AI agent connection.

🚀 Automate social media with AI-generated posts for Instagram and Twitter, featuring scheduling and integration with OpenAI for quick content creation.

We created the AI Empower Her app to help women improve interview skills, boost confidence, and achieve economic equality through real-time feedback and tailored advice.

An AI app to help turn food waste into inspiration

Multilingual Sentiment Analysis Web App | Flask + Hugging Face A full-stack web application that performs sentiment analysis in 20+ languages using Hugging Face's AI models. Features real-time analysis, automatic language detection, and a responsive UI

RAG chatbot that answers professional questions about myself. Implemented with LangChain and Gradio UI on Python

An AI-powered FAQ assistant that helps small businesses answer customer questions automatically, 24/7.

🌿 An interactive AI-powered plant that reacts to your facial emotions. Built with Transformers, PyTorch, and Streamlit — capture your mood, and the plant responds with joy, calmness, or sadness!

Multilingual NER app using XLM-RoBERTa and Gradio.

NegaBot is a complete sentiment analysis solution that detects positive and negative sentiment in tweets, particularly focusing on product criticism detection. Built with FastAPI, Streamlit, and the powerful jatinmehra/NegaBot-Product-Criticism-Catcher model.

This is a text summarizing application

Smart text classification using zero-shot learning (Gradio + Hugging Face Transformers)

This is a Streamlit web application that allows users to upload an image of an animal and predicts the name of the animal using a pre-trained MobileNetV2 model. The app leverages the power of TensorFlow and ImageNet-trained weights to classify images.

Made with ElevenLabs API v3, Qwen3-Thinking (via Frendli), OpenAI GPT-5-mini, and Streamlit. AWS S3 for storage, deployed on Render.

Personalized Journaling & Idea Management App leveraging generative AI.

Advanced AI-Powered Research Assistant

Automatic translation of i18n messages for your products with AI.