Project-Based Learning: Students work on industry-sponsored or student-led projects.

Boot Camp Curriculum: Gain experience working in multidisciplinary teams, collaborating with industry partners, and applying advanced tools to prototype innovative solutions.

Mentorship & Talks: Weekly guest speakers from leading sectors, including aerospace, energy, manufacturing.

Demo Day: Present final projects to industry leaders and win recognition.

Ideal Candidates: Engineering students, with preference given to professional graduate, Master’s and PhD students. Accepted students will receive a stipend upon full program participation.

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Summer 2026 Application Now Open!

APPLY NOW!

 

Summer 2026 Session: May 26 - August 6

Over the course of 10 weeks, students will gain experience working in multidisciplinary teams, collaborating with industry partners, and applying advanced tools to prototype their innovative solutions. Accepted students will receive a stipend for full participation.

 

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BioBoost AI
Sponsor: BIOSFERA
Keywords: AutoML (TPOT), Biogas Prediction Modeling, Feature Engineering, AI, Cloud Computing Platform, Sustainable Energy
Summary: At BioBoost AI, we believe the future of our planet depends on scaling renewable energy—and we’re starting with biogas. Our mission is to make biogas plants not only more efficient but also more profitable. By turning complex operational data into actionable insights, our AI–powered platform helps plants forecast production with above 82% accuracy, optimize output, and increase revenue. Our solution provides a user-friendly, cloud-based web application that enables plant operators to monitor performance and make data-driven decisions with confidence. BioBoost AI bridges the gap between sustainability and profitability, making biogas a smarter choice for the planet—and a more compelling opportunity for investors.
We are sponsored by BIOSFERA, under the direct supervision of its co-founders, Marya Cokar and Jacob Arredondo.

DMV-Agent.AI
Sponsor: City of Houston & DPS
Keywords: Webapp(react.js, node.js),OCR, database(mysql)
Summary: Every week, thousands of Houston residents line up or log in to register their newly purchased vehicles. What should be a simple process often turns into hours of paperwork, confusion over forms, missing documents, and repeated trips to the tax office. As part of Rice University’s Summer Engineering Innovation Program (SEIP), our student team is tackling this head-on with dmv-agent.ai, a web app that transforms the Texas motor-vehicle title registration experience from a 2-hour headache into a 10-minute process.
Our solution allows users to:

• Take photos or upload documents like a Driver’s License and Certificate of Title
• Use OCR to extract key information and auto-fill official forms like the 130-U
• Avoid common errors that cause costly delays or rejections

Our solution combines AI and process automation to solve a common problem. We’re not just building software — we’re solving a daily frustration for Texans, especially seniors, first-time buyers, and non-native English speakers. By making title registration as easy as taking a photo, we aim to eliminate process inefficiencies, boost accuracy, and help both residents and auto title companies focus on what matters most: getting people on the road.

LEVARIX
Sponsor: SLB
Keywords: ESP (Electric Submersible Pump), AI (Artificial Intelligence), Optimization, Oil & Gas
Summary: At LEVARIX, we’re redefining the future of Electric Submersible Pump (ESP) design through intelligent design automation agents. ESP solutions are essential in conventional oil & gas fields or renewable geothermal applications, for enhancing flow rates. Our platform leverages cutting-edge AI agents to perform multi-objective optimization and pareto analysis, enabling energy operators to design and configure ESP systems that are more efficient to their specific application.
Whether applied to conventional oil & gas fields or the growing geothermal sector, our solution delivers data-driven insights that accelerate decision-making and maximize system output. With a user-centric, cloud-based interface, users can intuitively explore design parameters, evaluate different ESP trade-offs in real time, and generate comprehensive, ready-to-implement specification sheets.
By simplifying complex engineering decisions and enhancing system performance, LEVARIX helps bridge the gap between operational efficiency and long-term sustainability, unlocking greater value for both the industry and the planet.

ShelfSmart
Sponsor: Student Led
Keywords: Optimization, Intelligence, Visibility, Automation and Empowerment
Summary: At ShelfSmart, we believe small and medium businesses are the backbone of our communities, and it's time to empower them with smarter, AI-driven analytics and business decision-making tools. For grocery stores, our mission is to eliminate stockouts, reduce food waste, and boost profits through predictive inventory intelligence. Using historical sales, weather, holidays, and customer patterns, our platform forecasts product demand for today, tomorrow, and next week. With real-time alerts, actionable dashboards, and category-based insights, ShelfSmart AI helps store owners replenish the right stock at the right time, before they run out. Our lightweight, user-friendly web application allows grocery owners to upload POS data or CSV files to view automatic predictions, and get alerts for critical stock levels, ensuring no more surprises on your shelves. ShelfSmart bridges the gap between operational chaos and confident decision-making, turning local grocery stores into data-powered businesses of the future.

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