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A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. 🚀
This app helps detect and diagnose plant diseases using advanced image recognition and deep learning models like MobileNetV2. By analyzing plant photos, it provides accurate disease identification and timely insights for farmers and gardeners.
A Python‑based incident detection engine that analyzes video feeds for motion, detects objects, and uses large language models (LLMs) to generate semantic descriptions of incidents. Designed for extensibility with custom detectors and processors.
Config files for my GitHub profile.
Knowledge Dungeon is a Streamlit-based quiz adventure where LLM agents generate and check questions, track progress, and guide players through levels.
A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀
Repositories
23This app helps detect and diagnose plant diseases using advanced image recognition and deep learning models like MobileNetV2. By analyzing plant photos, it provides accurate disease identification and timely insights for farmers and gardeners.
A go-to repository for building web search agents and multi-agent systems using LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI. It includes a multi-agent email response agent, LLaMA OCR, and a multi-agent travel planner, enabling autonomous and intelligent workflows. 🚀
A Python‑based incident detection engine that analyzes video feeds for motion, detects objects, and uses large language models (LLMs) to generate semantic descriptions of incidents. Designed for extensibility with custom detectors and processors.
Config files for my GitHub profile.
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What They Would Say is an AI‑driven chatbot app that answers questions in the voice of historical figures, celebrities, or fictional characters using real quotes and language models — with optional expressive voice playback.
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Automated‑ML automates training and evaluating machine learning models on tabular data with minimal setup.
Knowledge Dungeon is a Streamlit-based quiz adventure where LLM agents generate and check questions, track progress, and guide players through levels.
No description provided.
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A collection of Python OpenCV projects demonstrating computer vision applications like gesture control, document scanning, and sleep detection.
A machine‑learning‑based project that trains a model on historical flight data to predict ticket prices and exposes that model via a REST API. It includes data pipelines, model training, API endpoints for inference, and supporting code
A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀
Example data visualization using matplotlib,seaborn.ipywidgets and plotly and example dashboard using streamlit
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A prices estimator comprising of various items using machine learning