Priyank Patel

@priyank766 · User

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AI is not the way to AGI

SaarthiOSAhmedabad10 followers39 repositories

Repositories

priyank766/hydradb-mcp

MCP server enabling HydraDB memory operations (store, recall, search) in AI coding tools

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priyank766/CADai

CADai is a three-tier web application designed to integrate natural language AI interaction with a professional 3D computer-aided design (CAD) environment. The application features a React-based 3D frontend, a Python backend, and an AI agent layer.

★ 1JavaScriptForks 0

priyank766/Hermes-BIO

An agentic harness for drug-discovery research disease name → ranked candidates · underexplored targets · cross-indication leads

★ 1PythonForks 0

priyank766/RLM

A local, reproducible comparison framework that puts Recursive Language Models (RLMs) head-to-head against standard LLM inference on long-context tasks — using the exact same model for both. Includes SFT training with QLoRA and Muon optimizer ablation.

★ 2PythonForks 0

priyank766/anchor

Cross-agent memory for AI coding agents. Local-first.

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priyank766/BioAgent-ALPHAFOLD

AI-powered platform where researchers interact with a conversational agent that autonomously retrieves protein structures, detects binding pockets, runs molecular docking, profiles interactions, and generates visual + textual scientific reports — all through natural language.

★ 4TypeScriptForks 0

priyank766/Cortex

Cortex is an open-source agent workspace built for operating inside a real project folder instead of stopping at chat. It combines a React frontend, a FastAPI backend, scoped file access, persistent conversation state, and sandboxed shell execution so the agent can inspect files, take actions, and surface everything it does.

★ 0PythonForks 0

priyank766/FrontFrEND

FrontFrEND, an AI-powered assistant that analyzes frontend code (HTML/CSS/JS), suggests UI/UX improvements, generates real-time visual previews, and automates GitHub pull requests to enhance developer productivity and streamline code review.

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priyank766/sdk

Universal Python SDK to run AI workloads on Kubernetes

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priyank766/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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priyank766/ArXiv_Research_Assistant

An AI-powered Streamlit application for efficient arXiv paper discovery and literature-review style summarization using large language models. It helps researchers and students quickly stay updated with the latest academic publications.

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priyank766/WonderPLAN_Traveller

An intelligent AI-powered By Google ADK and A2A Protcol for travel planning application that generates personalized itineraries, accommodation recommendations, and trip deals using a microservices architecture.

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priyank766/Algo-Trading-System

This project is an automated algorithmic trading system that fetches stock data, applies a trading strategy based on technical indicators and a machine learning model, and logs the trading signals to Google Sheets. with complete automation in one click

★ 0Jupyter NotebookForks 0

priyank766/TalentScout

The chatbot assists in the initial screening of candidates by gathering essential information and posing relevant technical questions based on the candidate's declared tech stack.

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priyank766/Browser_Agent_MCP

A robust browser automation agent designed to interact with web pages programmatically, exposed via a FastAPI web interface. This project leverages Playwright for browser control and `mcp-agent` for core agent functionalities, providing a powerful and flexible solution for web scraping, automated testing, and other browser-based tasks.

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priyank766/Different-Types_of_RAG

This project implements a Streamlit application that allows users to interact with a PDF knowledge base using different Retrieval-Augmented Generation (RAG) techniques.

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priyank766/RAG-vs-Fine-Tuning

This repository demonstrates and compares two advanced approaches for customizing Large Language Models (LLMs): Fine-Tuning and Retrieval-Augmented Generation (RAG). Both methods are implemented and evaluated here using real-world company profile data

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priyank766/Multimodel_RAG

multimodal Retrieval-Augmented Generation (RAG) designed to analyze veterinary medical documents, with a specific focus on dog health. This script uses cutting-edge language models, document parsing tools, and vector search technologies to provide advanced question answering and summarization capabilities.

★ 0PythonForks 0

priyank766/YT_TRANSCRIBER

This project is a web application that allows users to summarize YouTube videos using AI. It extracts the transcript of a given YouTube video and then uses the Google Gemini API to generate a concise summary with key takeaways.

★ 0PythonForks 0