RESTAPI-Node.js,Express.js,designed MongoDB schemas,managed data using Mongoose,structured modular route handling for product and order management.Crafted clean,responsiveUI in vanilla HTML,CSS,JavaScript Handled cart logic,dynamicDOM updates,async backend calls using FetchAPI.
one of my older full-stack projects, Cuisine Club (FreshCart), a fully deployed grocery ordering web app. Here's everything that went into building it:
github repo-https://t.co/DLpOf5jwYU
visit it https://t.co/A3y9VhT8MO
Programming: Python
Deep Learning: TensorFlow, Keras
Computer Vision: OpenCV, Pillow (PIL)
Data Processing: NumPy, Pandas, Scikit-learn
Visualization: Matplotlib
Web Framework: Streamlit
Development Tools: Git, GitHub, Visual Studio Code, Virtual Environments
an end-to-end deep learning application that classifies waste images using Convolutional Neural Networks (CNNs) built with TensorFlow/Keras and deployed through Streamlit.
repo-https://t.co/Yx1UCCtLVC
After 7 Hours of crazy debugging....
All 5 tests are passing successfully! ✅
Here's the test summary:
TEST 1: Storing memories ✅
TEST 2: Retrieving relevant context✅
TEST 3: Saving agent output to memory ✅
TEST 4: Session memory ✅
TEST 5: Memory stats ✅
PolyAgent — A Multi-Agent AI Operating System for Knowledge Work
An open-source, self-hosted platform where specialized AI agents collaborate autonomously to complete complex, multi-step tasks — with full observability, memory, and a beautiful UI