EcoVision is an innovative app designed to empower Toyota employees and customers with cutting-edge tools for analyzing vehicle fuel economy data from 2021 to 2025. Combining sleek historical data visualizations, AI-driven predictions powered by SambaNova, and advanced image parsing for diagnostic insights, EcoVision AI streamlines fuel efficiency analytics.

• Current Analysis: Provides detailed insights into fuel consumption trends (e.g., miles per gallon) for various vehicle types (sedans, SUVs, trucks, etc.) using historical data from 2021 to 2025.
• Future Analysis: Predicts future fuel efficiencies for 2026 and beyond using advanced analytics powered by S NOA, aiding long-term planning and sustainability efforts.
• File Upload: Allows users to upload vehicle data files (e.g., OBD II data) for analysis, with drag-and-drop functionality and instant processing to generate actionable insights.

Whether uncovering trends or identifying performance bottlenecks, the app redefines decision-making for smarter, eco-friendly automotive strategies.

• Analysis: This project integrates the SambaNova API to create current and future analysis of fuel consumption.
• Frontend: The frontend of the application relies on React.js and Pinata API to create charts—using React Charts—and administer file uploads through Multer for the OBD-II data.
• Database: Our project utilzes MongoDB to store the Toyota car information, which is accessed by our SambaNova analysis integration through Axios.

• Leveraging corportation resources for vehicle data
• File upload and analysis using AI
• MongoDB Integration with React Charts

• Integration of Pinata API with our React based tech stack
• PyScripts use for chart generation in our React App proved to be out-of-date
• Struggles with optimizing database queries and ensuring efficient data retrieval and storage in MongoDB.

• Further integration of Deep Reasoning Models like Deepseek R1 to drive analysis and predictions
• AI Chatbot for specific questions regarding the comparison of fuel economies
• Increased database size that spans more than half a decade for better predictions
• Integration of end-to-end encrpyted OBD-II file uploads

EcoVision: Driving the future, one fuel-efficient mile at a time! 🚗⚡️

Developed by Sai Chauhan, Jonathan Lewis, Ishita Saran, and Cheryl Wang