Pinned Repositories
AI-Companion-stripe
AI-Companion is a cool software that lets you create your own custom AI models of people you admire, like actors or celebrities. It's a tool to make personalized artificial intelligence companions based on your favorite individuals.
aopu
canva-clone
A feature-rich graphic design SaaS platform with an intuitive editor for template customization, text/shape manipulation, and advanced drawing tools. Includes secure Stripe subscriptions and AI-powered image generation background removal. Built with Next.js 14, React, and TailwindCSS.
dify
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
E2B
Secure open source cloud runtime for AI apps & AI agents
edu-fiche
Edu-Fiche is a web app using API of OPEN AI to generate in few clicks sheet to study
full-stack-aiAI-prompt
Generate a full-stack Next.js app from an AI prompt
hoarderbookmark
A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search
identification-des-mal-de-plantes-
Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques
inbox-zero
Open source email app to reach inbox zero fast.
SYPclub's Repositories
SYPclub/aopu
SYPclub/identification-des-mal-de-plantes-
Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques
SYPclub/People-Counter-1
A people counter written in python and using openCV - it utilizes background subtraction and can work in real time.
SYPclub/photoarty
SYPclub/Plant-Disease-Detection
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
SYPclub/proof-of-delivery
Blockchain based solution to validate physical assets in supply chain
SYPclub/sddds
SYPclub/thingsboard