Featured
• Leading organization of Eastern India's largest student-run hackathon
• Managing sponsorships, logistics, and 1500+ participant experience
Featured
Wearable anti-tremor band that stabilizes hand movements for patients with essential tremors and early-stage Parkinson's. Uses gyroscopic sensors and inverse-frequency vibration to counteract tremors in real-time. Winner at SIH 2024 National Finals.
AI-powered agricultural advisory platform providing personalized crop recommendations, disease detection, weather-based insights, and insurance assistance. Features multilingual voice support for rural farmers. Tata Social Enterprise Challenge Winner.
Immersive mental health therapy platform combining AI-powered counseling with AR/VR exposure therapy. Includes mood tracking, personalized wellness plans, and real-time biometric monitoring. IEEE YESIST12 Malaysia Global Top 3.
AI-powered interview platform eliminating bias in hiring through automated resume screening, skill-based assessments, and intelligent candidate matching. Processes 10,000+ applications with 95% accuracy. Infosys Global Hackathon AIR 8.
About
I am a B.Tech student in Computer Science (IoT & Cyber Security) with deep expertise in Generative AI, Deep Learning, and Full Stack Development. Currently serving as a Research Intern at Jadavpur University's NLP Lab, I work on cutting-edge information retrieval systems using RAG architectures, rerankers, and transformer models. As a hackathon team lead, I've secured global recognition—SIH 2024 Runner Up, Infosys Global AIR 8, and IEEE YESIST12 Top 3. My work bridges academic research with real-world impact, developing AI systems for healthcare diagnostics, agricultural advisory, and cybersecurity applications. I believe in building technology that solves meaningful problems, not just impressive demos.
Skills
Research &
D. Chatterjee, S. Jana, et al.
International Conference on AI Applications
A comprehensive AI framework leveraging transformer-based models and semantic analysis for automated resume parsing, skill extraction, and ATS compatibility scoring. The system achieves 94% accuracy in candidate-job matching.
D. Chatterjee, S. Jana, et al.
Advances in AI-Driven Systems (Book Chapter)
This chapter presents a unified architecture combining facial expression analysis, voice sentiment detection, and physiological signals for comprehensive emotion recognition in interactive systems.
D. Chatterjee, S. Jana, et al.
Ethics in AI and Data Science (Book Chapter)
An exploration of adversarial attacks on ML systems, focusing on data poisoning techniques and defensive countermeasures. Proposes a multi-layer validation framework for training data integrity.
deba2k5's coding journey over the past year
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