What I’ve Built

it-education-concept-student-write-software-create-code-computer-coding-script-project-app-digital-technology-website-interface-devices-vector-illustration_277904-10630


Projects showcase

Here you’ll find projects that showcase my expertise in AI, data science, and engineering. From data-driven tools to innovative AI solutions, these works represent my dedication to solving problems through technology and research.

Bubble Burster

Bubble Buster

An AI-driven platform designed at Junction Hackathon 2024 to improve workplace well-being. Bubble Burster bridges communication gaps by empowering employees to report issues and providing managers with actionable insights.

Stack: Python | Flask | Bootstrap | Docker | Vertex AI API | HTML | CSS | JavaScript | AWS

Built a platform that analyzes employee feedback to address workplace concerns.
Integrated AI-powered tools to provide real-time insights for managers and employees.
Designed a well-being dashboard with department-specific filters and tracking systems.
Achieved top 5 finalist recognition at Junction Hackathon 2024, with 25 commits and over 30 hours of coding in less than 48 hours.

Wanna see more?

Explore the GitHub repository and/or watch the platform in action.

See the codesee the demo

Lenguistiq

Lenguistiq

A web application designed to simplify language learning through AI-powered real-time translations and grammar explanations. Lenguistiq focuses on demystifying complex languages like Finnish.

Stack: React | Flask | MySQL | JavaScript | CSS | Gemini API | LLM Integration | Clustering Algorithms.

Built word-level breakdowns that allow users to click on words for detailed analysis.
Created an interactive translation app providing grammar insights like root word identification, inflections, and sentence structure.
Implemented a recommender system using clustering algorithms to classify word patterns and optimize user learning.

Wanna see more?

Watch the platform in action.

See THE DEMO

Poromagia

Poromagia

An automated card-sorting system developed for Poromagia, a Finnish company specializing in collectible cards. The machine saves time, reduces errors, and replaces manual labor through software, computer vision, and robotics.

Stack: Arduino | Raspberry Pi | Computer Vision | Python | Node.js | Angular | TypeScript | AWS | MongoDB | MQTT.

Implemented a computer vision model with 90% accuracy for identifying cards from a database of 300,000+ entries.
Built a web interface to control the sorting process with real-time device communication.
Developed a multi-component system integrating Arduino, Raspberry Pi, cloud servers, and databases for seamless operation.
Designed a robotic sorting system that reduced manual labor by 80%.

Wanna see more?

Explore the GitHub repository.

See the code

Ventilation System

abb-ventilation-system

An IoT-based CO₂ controller system developed for greenhouse environments. It enables real-time monitoring and control of fan speed and CO₂ levels, ensuring optimal plant growth.

Stack: JavaScript | C++ | Node.js | MQTT | MongoDB | LPCxpresso.

Developed a web-based dashboard for controlling fan speeds and CO₂ levels in automatic and manual modes.
Implemented real-time monitoring and statistics, enabling users to view sensor data and manage user sessions as teachers/students.
Integrated communication between sensors, the LPCxpresso microcontroller, and a cloud database for data storage.

Wanna see more?

Explore the GitHub repository.

See the code

See all my projects!

You can visit my GitHub to see all my projects, even the ones which are not yet here.

More Projects