oilyrags.ai

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About OilyRAGs

OilyRAGs AI platform helps to reduce costs for service businesses by automating processes, optimizing operations, and providing insights for strategic decision-making.

Awards

🥉 Third Place
LlamaIndex Agentic Hackathon with Pinecone and Vessl AI
500 Global HQ - Palo Alto, Ca - 2024

OilyRAGs Origin Story

DEVPOST RAG-a-thon Entry

https://devpost.com/software/oilyrags

Inspiration

The inspiration for OilyRAGs came from observing the challenges faced by mechanics across various fields. I personally rebuilt a 1976 Toyota Landcruiser a few years ago and noticed that whether working on boats, cars, or lawnmowers, mechanics and everyday DIYers often struggle with accessing up-to-date information quickly, diagnosing complex issues, and managing their time efficiently. I wanted to create a solution that would empower mechanics with the knowledge and tools they need, right at their fingertips.

What it does

OilyRAGs is an AI-powered assistant for mechanics that covers a wide range of vehicles and engines. It provides:

• Instant access to a vast array of mechanical knowledge using RAG
• Real-time diagnostic assistance using natural language
• Step-by-step repair guides
• Parts identification and sourcing
• Maintenance scheduling and reminders
• Customer communication tools

How I built it

I developed OilyRAGs using: Python, Streamlit, LlamaIndex, Pinecone, & OpenAI (3.5, Whisper, 4o)

• Advanced natural language processing models
• Retrieval Augmented Generation (RAG) technology
• A comprehensive database of mechanical information
• Machine learning algorithms for continuous improvement
• User-friendly interfaces for mobile and desktop use

Challenges I ran into

Some key challenges included:

• Technology dependency bugs
• Integrating information from diverse mechanical fields
• Ensuring accuracy across a wide range of vehicle types and models
• Developing an intuitive user interface for mechanics of all tech skill levels
• Balancing the depth of information with ease of use
• Ensuring data privacy and security

Accomplishments that I’m proud of

I am particularly proud of:

• Creating a truly universal tool that is scalable for all types of mechanics
• The accuracy and speed of our diagnostics
• Positive feedback from beta testers across different mechanical fields
• Successfully integrating complex AI technology into an easy-to-use platform
• The potential impact on reducing repair times and improving customer satisfaction

What I learned

Through this process, I learned:

• The importance of cross-disciplinary knowledge in mechanics
• How to effectively combine AI with human expertise
• The critical role of user feedback in refining AI tools
• The complexities of different mechanical systems and how to unify them in one platform
• The value of clear, concise simplified communication in tech solutions

What’s next for OilyRAGs

Looking ahead, I plan to:

• Implement hands-free mode
• Expand our offerings to cover even more niche vehicles and engines
• Develop predictive maintenance features using machine learning
• Integrate augmented reality for visual guidance during repairs
• Create a community platform for mechanics to share knowledge
• Partner with suppliers for seamless ordering within the app

Built With

• llamaindex
• openai-chatgpt
• openai-whisper
• pinecone
• python
• streamlit