eSolutions x Tchibo Hackathon 2025

9 teams, 31 participants, 24 hours, 9 amazing projects, 4 tech jurors from eSolutions & Tchibo, and loads of brainstorming - the 9th edition of the eSol x Tchibo Hackathon in a nutshell.

Another year, another important change! This year’s Hackathon we have teamed up with our friends at Tchibo for even more amazing projects! We were very excited to see what our colleagues came up with at this year’s Hackathon, and we’re sure you are too, so let’s take a look at how it all went on 12-13 September!

Overview

The eSolutions x Tchibo Hackathon 2025 was all about pushing boundaries and unleashing creativity. With no strict limitations on the project theme, participants were encouraged to let their imaginations run wild, as long as their ideas were innovative and techy! Over an intense 24-hour period, teams worked tirelessly to bring their visions to life, culminating in dynamic presentations and insightful Q&A sessions.

The Teams & Their Projects

With the clock ticking and energy running high, nine talented teams dove headfirst into the challenge, each bringing a unique perspective and skill set to the table. Let's meet them!

Team A-Eye

Project Description: A networking assistant using computer vision for face recognition and tagging, extracting key details about conversation partners through speech recognition.

Team Members: Daniel Reimus, Pascal Belger

Tech Stack: LLM

4DADS

Project Description: Being a dad is an adventure, 4Dads makes it simpler. We focus on using latest technology with purpose. Our app listens to your baby and pets, identifies cries and decodes it, so you can respond fast and stress-free. </p

Team Members: Cezar Ene, Corina Staicu, Oana Brezai, Miron Brezai

Tech Stack: Web responsive app, Cursor

Runtime Terrors

Project Description: Outfitter.AI is an AI-powered digital twin fitting app that lets users visualize outfits on themselves. Users can browse a curated selection of tops and bottoms sourced from Tchibo.de (via automated web crawling of product data and images). After selecting an outfit and uploading their own photo, the app uses Gemini 2.5 Flash (Nano Banana) to generate a realistic image of the user wearing the chosen clothes - providing a seamless, personalized shopping experience.

Team Members: Eva Simpetru, Robert Tatuc, Ionela Baltaretu

Tech Stack: Next.js, FastAPI, PostgreSQL Database, Gemeini API 2.5 Flash

eSol Trials

Project Description:  A platform for mini games, to have fun together at the hackathon.

Team Members: Alexandru Goga, Iuri Meresan, Daniel Dumitrascu, Valentin Dugan

Tech Stack: Cursor

Brewcharest

Project Description: We are developing a dynamic landing page based on the Tchibo product catalog, where the layout and theme adapt seamlessly to the search terms entered—offering a personalized gift-finding experience for every user

Tchibo MyWords - favourite search terms => completely customized theme world pages

webshop personalization

Team Members: Maximilian Müller, Joris Raphael Uecker, Philipp Schumacher, Fjodor Scharmacher

Tech Stack: Elasticsearch, LangChain, LAngGraph

CTRL + ALT +  DEFEAT

Project Description: An AI-powered recycling app that identifies the number of recyclable containers and records their geolocation.

Team Members: Eduard Baltatu, Laurentiu Zamfirache, Viorel Zota

Tech Stack: Firebase, YOLO, Android, Ktor, Kotlin, Python

Brew Brothers

Project Description: Social Spark, a be-spoke solution that elevates your social media experience for B2C and B2B.

Team Members: Dragos Tanta, Sorin Ionescu, Alex Verdes, Emil Calofir

Tech Stack: Cursor

One Direction

Project Description: SmartCoffeeApp is an intelligent system that automates coffee preparation based on sleep data analysis. The iOS app analyzes sleep quality through HealthKit, automatically detects wake-up patterns, and determines the appropriate coffee type (short/long espresso/latte) based on sleep duration and quality scores. An ESP32 controller mounted on the espresso machine receives wireless commands and physically actuates the machine buttons, offering dual modes: automatic (coffee prepared immediately upon wake detection) and manual ("I'm Awake" button for user control). The dashboard provides detailed statistics on sleep patterns and coffee consumption for morning routine optimization.

Team Members: Cristina Andries, Florentina Bobocescu, Alin Jderu, Marius Craus

Tech Stack: iOS app, ESP32, communication bridge

And last, but not least...

Oldies But Goldies

Project Description: SQL Query Optimizer is a web application designed to supercharge your database performance. It uses AI to analyze slow SQL queries and intelligently suggests the optimal indexes to make them run faster.
Core Features:

• Smart Index Suggestions: Leverages AI to analyze EXPLAIN plans and recommends the most effective indexes.
• Multi-Database Support: Seamlessly manage connections for both MySQL and PostgreSQL.
• One-Click Implementation: Apply suggested indexes automatically and measure the performance improvement instantly.
• History Tracking: Keep a clear record of all optimizations and their impact.

In short, it’s the tool that takes the guesswork out of database optimization, saving you time and headaches. It makes your database work smarter, not harder.

Team Members: Marian Simpetru, Delia Popescu, Bogdan Stoean

Tech Stack: Cursor, MYSQL

And the Winners Are…

? First place: Runtime Terrors with their outfitter.ai app.

? Second place: One Direction with their smart coffee machine.

? Third place: Brew Brothers with their social media tool.

Thank you all for joining and check out our cool video!