Projects

TECH:
Adhyayan AI
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ADHYAYAN AI — Interactive AI-Powered Learning Ecosystem
Sankalpa Sarkar, Shreyas Saha, Shovon Halder & Sahnik Biswas
Batch: 2023–27 Feb 2026

An interactive AI-powered learning platform combining large language models with real-time visualization and gamified assessments — enabling active learning via mind maps, quizzes, flashcards, and collaborative study rooms.

LLM Gamification Mind Maps Flashcards
ATS-Eureka
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ATS-Eureka: AI-Powered Resume Screening System
Baibhab Adhikari, Garima Roy, Souharda Shikhar Biswas & Leeza Bhowal
Batch: 2023–27 Feb 2026

Uses Google Gemini 2.5 Flash for deep semantic resume matching. Built on FastAPI and AWS with async batch processing, personalized skill-gap feedback, and MongoDB + Redis — replacing rigid keyword filters with contextual talent discovery.

LLM NLP Cloud FastAPI MongoDB
Smart Parking
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Smart Parking Management System
Priyanshu Paul & Abhisek Mondal
Batch: 2023–27 Oct 2025

Three-tier production system automating check-ins via YOLOv12n, OCR.space & MediaPipe. Pairs a Flask AI microservice with Node.js and WebRTC for touchless license plate detection and gesture-based duration confirmation.

Computer Vision YOLOv12n OCR WebRTC
AR Hair Projection
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AR-Based Hair Projection System
⭐ Faculty Project
Dr. Sajal Saha, Mr. Ayushman Bilas Thakur & Mr. Subhajit Sircar

Virtual try-on for hairstyles using AI Hair-Length Detection and a 3D Hairstyle Overlay AR Engine. Generates real-time, personalized hairstyle recommendations — letting users visualize new looks before a haircut.

AR Computer Vision Deep Learning 3D Overlay
AI DSS Real Estate
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AI-Powered Decision Support System for Automated Knowledge Extraction & Compliance in Real Estate
Ariyan Basu (2022–26), Aayush Kumar (2023–26), Prithwiraj Mazumder (2023–27), Komal Paul & Tamal Ghosh
Multi-Batch

Automates knowledge extraction from unstructured documentation in real estate, enhancing transparency for brokers, analysts & investors via a sequential AI-powered DSS decision-making framework.

NLP LLM Deep Learning Knowledge Extraction
VARC-UNet
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VARC-UNet: Variational Attention Framework with Content-Aware Upsampling for Nicotine Stain Segmentation
Arpan Maity (2024–26), Sayantan Goldar (2023–27), Debobrata Dutta (2023–27) & Tamal Ghosh
Multi-Batch

Nicotine-stained fingertips as a clinical biomarker — tackled through automated segmentation addressing subtle color variations and low-contrast boundaries. Presents VARC-UNet, a variational attention framework with content-aware upsampling...

Deep Learning Computer Vision Medical Imaging Segmentation
HPC Multi-Agent AI
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HPC-Powered Multi-Agent AI Ecosystem for Legal and Automotive Intelligence
Komal Paul, Ariyan Basu (2022–26), Subhojit Paul (2023–27), Shri Srimoy Trivedy (2023–27), Aayush Kumar (2023–26), Prithwiraj Mazumder (2023–27), Tamal Ghosh & Sajal Saha
Multi-Batch

An HPC-powered multi-agent AI ecosystem integrating strategic model orchestration with domain-specific intelligence for legal decision-making and automotive diagnostics — built for accuracy, interpretability, and reliability...

Multi-Agent HPC LLM NLP
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