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00Aryan22/NeuroPilotAI

An autonomous multi-agent AI platform for live research, PDF intelligence, GitHub analysis, report generation, and developer workflow automation.

Python GitHub ↗
★ 0
stars
65
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

NeuroPilot AI is an autonomous multi-agent research and developer OS for building hackathon-grade demos and startup-ready workflows. Target users are developers, researchers, hackathon teams and early-stage startups needing fast research, repo analysis, RAG and deliverable generation. Key features: live web research (Tavily, optional Apify), GitHub repository architecture analyzer with AI recommendations, PDF semantic chat using Chroma vector memory, multi-agent orchestration via CrewAI + LangChain (with fallback), AI-generated DOCX reports and PPTX slides, dynamic analytics dashboard and persistent session memory. Tech stack: Streamlit frontend, Python 3.11 backend, OpenRouter (openai/gpt-3.5-turbo) models, pypdf + ChromaDB for RAG, python-docx/python-pptx, and Plotly. Optimized for low-spec machines (8GB/no GPU); vectors persist to disk. Setup: pip install, configure .env, run streamlit run app.py.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
OpenAI
🧩 AI frameworks (2)
LangChain CrewAI
🗄️ Vector DBs (1)
Chroma
🌐 Web frameworks (1)
Streamlit

Language breakdown (by bytes)

CSS
10.7%
Python
89.3%

Owner

Account
00Aryan22
Type
User
Followers
3

🎓 SY AIML Student | 🤖 AI/ML | 📊 Data Analytics | 🚀 Projects

Dates

Created on GitHub 2026-05-10
Last push 2026-05-10
First seen here 2026-05-10
Last fetched 2026-05-10 16:12

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