DataThrone 2024 - A Conversation with the Winners!

DataThrone: The thrill Continues!    

The excitement is still alive and well in our veins even after DataThrone an AI, ML and Data Science Hackathon is over! We have already given you a quick rundown of the primary highlights of the event and discussed the importance of hackathons like DataThrone. The main course, however, is about to begin candid conversations with our WINNING TEAMS!

Prepare to meet the bright brains who won the top prizes. We will explore their hackathon experiences, sources of inspiration, and goals for influencing data science going forward. You may be sure that these talks will spark your interest and possibly even turn it into a hacking obsession! So, strap in and prepare to be wowed!    

Let us begin with our winning team -   

𝐏𝐢𝐱𝐞𝐥 𝐏𝐢𝐨𝐧𝐞𝐞𝐫𝐬

Niraj Savaliya   

VIREN MEHTA   

Swity Satasiya   

Vaghani Het   

Aksh Maradiya   

The Team Pixel Pioneers, the winners of DataThrone 2024 selected the "Best Photo Identifier" problem statement, their main objective was to address the difficulty of classifying photos after an event. Their approach saves consumers a lot of time and effort by using artificial intelligence (AI) to select the finest images from a collection of photos or videos. The team used Flask and pre-existing frameworks to create an intuitive web interface while overcoming obstacles like pose detection and picture deduplication.    

Pixel Pioneers highlight the value of collaboration and are already thinking of ways to enhance their project with additional features and algorithms. When asked about their overall experience with DataThrone. They appreciate the guidance from mentors, especially the conversation with Ashish Kasama. They especially liked the efficiency of the registration procedure and the collaborative environment created at the DataThrone. On their personal goal front, they observed that their technical proficiency was improved by this experience, which also taught them essential teamwork and interpersonal skills. Their foray into data science and artificial intelligence began with DataThrone, and they're now excited to see where the future takes them.    

Moving on our second conversation was with the runner-up team   

𝐑𝐮𝐧𝐧𝐞𝐫-𝐔𝐩: 𝐓𝐞𝐜𝐡𝐓𝐨𝐧𝐢𝐜

Aditya Rai   

Mit Kathrotia   

Meet Sheth   

Keval P.   

Komal Papaniya   

The TechTonic team also selected an interesting problem statement it was Quality inspection in Manufacturing, their stream of choice was Computer Vision. TechTonic Using AI for Data Processing for Optimal Quality Management    

TechTonic who placed second at DataThrone 2024, concentrated on an automated flaw identification in production challenge. Their creative approach uses anomaly detection and computer vision to find flaws in various products. For manufacturers, this means substantial cost reductions and higher-quality products.    

Despite the challenge of object detection especially given the products' unique quadrilateral shape—the team was able to overcome it by combining Flask, Python, and MongoDB. They credit Hiren, one of DataThrone's mentors, for his helpful advice throughout the competition. The team emphasizes that to succeed in a hackathon setting, cooperation and consistent work are essential. They intend to grow their project and apply more AI algorithms to discover defects even more thoroughly. Their time at DataThrone sharpened their technical abilities and gave them a chance to network with industry professionals and test their potential. Their career in data science is just getting started, and they can't wait for events like DataThrone hackathons to help them achieve their goals in this exciting and rapidly evolving industry.

Our final team the second runner-up was   

𝐃𝐚𝐭𝐚 𝐖𝐢𝐳𝐚𝐫𝐝𝐬_2

Shashank Nakka   

Kunj Shukla   

Bhavan Trivedi   

Deep M. Bhatt   

The problem statement, "Quality Inspection in Manufacturing" was selected as well by Team Data Wizards_2 at DataThrone 2024. Their creative solution makes use of anomaly detection and computer vision to find defects in manufactured items.   

During the hackathon, the team determined that noisy data was a significant obstacle. They were able to overcome this challenge, though, with the help of analysis, mentor feedback, and teamwork (many thanks to mentors Ashish Kasama, Jaydeep Pedhadiya, Harsh Goyal, and volunteer Ashutosh!). To build their project, the team used an effective tech stack that included OpenCV/CV2, YOLO, NumPy, TensorFlow, Streamlit, Roboflow, Keras, and Pandas.   

DataWizards 2 calls their overall experience with DataThrone "great" and "efficient," complimenting the easy registration process in particular. Throughout the hectic occasion, they stressed the value of teamwork. They believe that their project has enormous promise in real-world production settings, where it may greatly increase productivity. For even more reliable fault identification, they see future development incorporating the merging of several models and pre-annotated data. In addition to broadening their technical skill base, taking part in DataThrone gave them access to cutting-edge technologies and excellent networking possibilities.    

Alright, folks thats a wrap on our interesting conversation with the DataThrone 2024 winning teams! These innovators are an actual example of the strength of teamwork and imaginative thinking. 

DataThrone served as a springboard for the upcoming wave of data science enthusiasts rather than just being a hackathon. These talented individuals not only solved practical issues but also developed their abilities, learned from industry experts, and made lasting connections.   

 Also read, Recap of Lucent Innovation’s DataThrone 2024