Jitendra Prajapati@Jitendra_Prajapati

Events attended

Submissions made

Looking for experience!

Socials

🤝 Top Collaborators

Khawaja Fashi-Ud-Din Abdullah

As an undergraduate pursuing a degree in Cybersecurity at FAST University, I am deeply committed to exploring the dynamic field of information security. My academic journey is complemented by a strong foundation in programming, having developed proficiency in Python and C++. These skills have been instrumental in my understanding of both theoretical and practical aspects of cybersecurity.

Ahmed Furkhan

I reside in Bangalore, India, where my passion for software engineering and data science began after completing my +2 education. Throughout my Bachelor's degree in Computer Science and Engineering at a reputed college, this passion deepened, leading me to explore artificial intelligence, machine learning, and large language models (LLMs). I have gained practical experience through various internships, including roles as a Full Stack Developer Intern at Datalog Research Lab, a Data Science Intern at Pantech.AI, and an Artificial Intelligence Intern at Varcons Inc. Currently, I am a Machine Learning Intern at Feynn Labs, where I lead a team of four members. Outside of my academic and professional endeavors, I enjoy solving Rubik's Cubes, appreciating music, and watching movies/anime.

Aafreen

Arslan Ali

I am a React Native Mobile app Developer both for Ios and Android

🤓 Latest Submissions

AI-Powered Medical Diagnostics Assistant

The AI-Powered Medical Diagnostics Assistant is designed to bridge the healthcare gap in remote and underdeveloped regions by offering real-time, AI-driven diagnostic insights without relying on cloud infrastructure. This mobile application uses advanced AI/ML models to analyze multimodal data—such as X-rays, CT scans, and patient-reported symptoms via text or speech—to detect multiple diseases including diabetes, heart disease, and Parkinson’s. By operating on low-latency edge devices, the app ensures that healthcare providers in areas with poor internet connectivity can still access reliable diagnostic tools. The system also recommends follow-up tests and referrals, improving the quality and timeliness of medical care in underserved communities.

Hackathon link

20 Oct 2024

👌 Attended Hackathons

Edge Runners 3.2

⌚ Take on a 48-hour challenge packed with creativity. 🚀 Build an app powered by Llama 3.2’s capabilities. 🎓 Get advice and support from industry experts along every step of the way. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program 💰 Stand a chance to win $5,000 in prizes. 🌟 Win the opportunity to be invited, with transport and accommodation covered, to our upcoming Giga Hackathons in Barcelona or Geneva in partnership with UNICEF. 🧑🏻‍💻 Sign up before the Kick-Off Stream to lock in your spot!

📝 Certificates

Edge Runners 3.2 | Certificate

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