Langchain Ollama Streaming example implemented in the flask
A powerful Streamlit application that generates concise summaries of articles from Wikipedia and Medium based on user queries and automatically posts them to a Telegram channel. Perfect for researchers, students, and knowledge enthusiasts looking to quickly digest information from trusted sources.
PestGuardian is a web-based application designed to assist farmers and gardeners in identifying pests in their crops and providing actionable recommendations for their elimination
a powerful Python application designed to make medical test reports accessible to everyone. By uploading an image of a medical test report (e.g., blood tests, X-rays), users receive a clear, concise interpretation of their health status, including any abnormal results and actionable recommendations.
A Python application designed to automate the management and summarization of your unread Gmail emails. This tool fetches your unread emails, categorizes them into relevant groups (e.g., newsletters, personal, work), and provides concise summaries, all accessible through a user-friendly web interface built with Streamlit.
An innovative Python project that empowers Persian speakers to control their Windows computers using voice commands. This application allows users to record voice commands in Persian, transcribe them into text using a fine-tuned AI model, and execute corresponding Windows commands securely.
This project is an Image Similarity Search Engine built with Python, utilizing Streamlit for the user interface and integrating with AI models via Ollama and CrewAI for advanced image analysis and keyword generation.
The tutorial video search engine that implemented by Langchain and Langgraph
A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages the **Fusion-in-Decoder (FiD)** approach for **Retrieval-Augmented Generation (RAG)**, combining semantic similarity, technical term relevance, and recency to deliver accurate and contextually relevant responses
The Bots and RAG systems developed by Langchain
AI Scraper
The applications of frameworks like Langchain and APIs for creating AI agents and RAGs
The **Jobinja Job Search Agent** is a powerful Python application designed to simplify job searches on Jobinja.ir, a leading job portal in Iran.
Python script for research comparing LLMs (GPT models) to human engineers in evaluating manual test cases. Uses Langchain & Ollama for structured, data-driven test case quality assessment. Explores reasoning & prompt engineering impact.
The AI agents that execute different tasks with assistance of LangChain, CrewAI and AutoGen
This project is a Streamlit application that empowers users to upload PDF documents and engage in interactive question-answering sessions about their content. It employs an Iterative Retrieval-Augmented Generation (RAG) technique, enhanced with a feedback mechanism, to deliver precise and contextually relevant answers
A powerful web-based application designed for Persian-speaking users to search for products on (https://www.digikala.com), Iran’s leading e-commerce platform
A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages a Hybrid Retrieval-Augmented Generation (RAG) approach, combining the strengths of vector-based semantic search and keyword-based search to deliver accurate and relevant responses
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