AI Profile Picture Generation
Generative AI | Stable Diffusion | Dreambooth
Workshop for the members of IE Robotics & AI Club
Read moreGenerative AI | Stable Diffusion | Dreambooth
Workshop for the members of IE Robotics & AI Club
Read moreDatacenter TPUs | Edge TPUs | AI Accelerators
Indexed by Springer. Accepted in ACR'24 Conference. Interviewed by Cade Metz (New York Times)
Read morePython attempt of master thesis algorithm "A Knowledge-based Approach of Connect-Four" by Victor Allis.
Read moreComputer Vision | Autonomous Drones | Smart Agriculture
PoC of an autonomous system that collects, analyzes and provides data in agricultural fields.
read moreTutoring Academy | UX | Web Development
Academy for support classes at my university.
read moreSwift | SwiftUI | JSON API
University Mobile App to allow students to access all the information for daily use at the university.
Read moreAI | NLP | Pose detection | Video Generation
Machine Translation From Audio/Text To Sign Language (ASL) Pose/Video Generation
MySQL | PHP | HMTL | CSS | JavaScipt | SQL | Relational Database
read moreOur mission was to create a solution that improves financial well-being. We presented working demos of two disruptive solutions:
1. AI-driven automation for loan applications, enhancing personalized finance for Intrum's vast client base.
2. A chatbot application that streamlined data access, providing quick responses to queries about Intrum's SQL database hosted in Google Cloud.
Our winning product was an AI SaaS capable of storing text-based data in a private database and making information retrieval as simple as striking up a conversation with a chat-bot.
1. Organized several workshops on AI and Robotics (link 1, link 2)
2. Formed a team of 11 officers + 12 student developers
3. Reached 200 members in the club
4. Established weekly AI research paper discussions (link)
5. Published a paper on TPUs for AI Applications (link)
6. Established collaboration with other companies in the field.
Solution to reduce Ryanair's CO2 emissions after reviewing a dataset provided by the airline. Trained XGBOOST and a 2 layered NN to predict the Teledyne Ramp Weight of an airplane before take off. Developed a web app to allow visualizing the airlines data and make desired predictions on specific flights.
PoC of an autonomous system that collects, analyzes and provides data in agricultural fields. Use of Computer Vision and AI to get insights such as plant health, water status, nitrogen/sugar/pH levels, disease detection and harvest scheduling.
Candidates who have an academic average for the last three years of 9/10 Spanish system, 3.8/4 GPA, 38/45 or 36/42 IB score (or equivalent in their grading system) are welcome to apply for this scholarship.
No scholarship application was required. This scholarship was granted upon admission in the university.