Intern under Dr. Manojit Ghose
Optimized custom CNN architectures, reducing model size by ~90% while maintaining performance for deployment on resource-constrained devices.
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Data Science &
Machine Learning Enthusiast
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Research and industry internship experience
Runners-up at Hackathon
School — Kendriya Vidyalaya Khanapara
B.Tech — Jorhat Engineering College
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Optimized custom CNN architectures, reducing model size by ~90% while maintaining performance for deployment on resource-constrained devices.
Designed and experimented with predictive maintenance machine learning models, and built a dashboard to visualize remaining useful life of pumps and related operational data.
Developed an AI-based evaluation system with adaptive, concept-focused assessments to reduce rote learning and ensure fair grading.
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01
Real-time pose detection web app built with Flask, MediaPipe, and a custom trained ML model.
02
Real-time IoT-based predictive maintenance system for industrial pumps.
03
AI-driven evaluation system with personalized, concept-focused assessments.
04
Automated attendance system that detects faces in real-time and logs date and time.
05
Streamlit app to automate image scraping from Google Images for ML datasets.
06
Interactive app showcasing diamond pricing prediction and land terrain classification.
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