From building under pressure to learning at full speed ⚡🌱
What started as a blank slate turned into an intense 8-hour journey of problem-solving, teamwork, and innovation. With a surprise problem statement on crop monitoring, we dived straight into action—no roadmap, just determination.
Using Raspberry Pi, PyTorch, Roboflow, and multiple datasets, we engineered a system where each plant had its own trained model, while a classification model identified the crop itself. Five plants, multiple models, parallel workflows—every minute counted.
From splitting tasks across systems to training models simultaneously on Colab and local machines, this wasn’t just about the outcome—it was about how fast we could adapt, collaborate, and execute.
Proud of my team— Gouri Vast, Pramugdha Gupta, Aditi Manthalkar —for turning chaos into something meaningful. We may not have taken home the win, but we walked away with something more valuable: insights, feedback, and a stronger foundation to build something real.
Sometimes, it’s not about winning—
it’s about proving to yourself how much you can create when time is not on your side. 🚀
#HackathonJourney #AIHackathon #CropMonitoring #AgriTech #MachineLearning #DeepLearning #PyTorch #Roboflow #RaspberryPi #ComputerVision #AIForGood #InnovationUnderPressure #Teamwork #WomenInTech #KaggleDatasets #ModelTraining #TechJourney #LearningByDoing #FutureOfFarming #SmartAgriculture #BuildInPublic #StudentInnovators 🚀🌱
15 August 2026 à 11h30
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