Surajit Sadhukhan

Surajit Sadhukhan

CSE AIML Student at Techno Bengal Institute of Technology | Aspiring AI Engineer | IoT Systems Builder | UI/UX Designer

Kolkata, India
2roles
19skills
3education

About

I am a dedicated Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at Bengal Institute of Technology. With a passion for blending technology and creativity, I focus on AI tool innovation, data science, and designing impactful solutions. Currently, I am expanding my expertise through hands-on projects, continuous learning, and exploring cutting-edge tools and technologies. I am driven by the goal of solving real-world problems and making meaningful contributions to the tech industry. I am enthusiastic about collaborating on innovative projects and open to opportunities that will help me grow as a professional while contributing to transformative initiatives.

Experience

Campus Evangelist

InnoFusion Hackathon

3 mos

UI Designer

HYRUP

3 mos

Education

Bengal Institute Of Technology

Bachelor of Technology - BTech, Computer Science

2024 - 2028

Patha Bhavan, Kolkata

12th

Mar 2022 - Jun 2024

Patha Bhavan, Kolkata

10th

2015 - 2022

Skills

JavaScriptReact.jsTailwind CSSDjangoC (Programming Language)Python (Programming Language)Cascading Style Sheets (CSS)HTMLInternet of Things (IoT)TypeScriptUser Interface DesignTechnical SkillsetSoft SkillsRadix UISupabaseFast apiAuthentication & AuthorizationDonut (Document Understanding Transformer)OCR-Free Document Processing

Projects

Kllinic

Overview: Klinik is an integrated healthcare platform that solves the fragmented patient-doctor-pharmacy loop. Instead of competing with local chemists like major e-pharmacies do, Klinik provides them with enterprise-grade tech to create a powerful, decentralized delivery network capable of fulfilling urgent medical needs in under 60 minutes. Core Features & Technical Implementation: Automated Inventory Management (AI OCR): Solved the "manual data entry" bottleneck for local pharmacists by developing an AI invoice scanner. I curated a dataset of 160+ distributor bills using Label Studio and fine-tuned a Donut/LayoutLM model on Google Colab (T4 GPUs) to extract medicine batches and expiry dates instantly. Hyperlocal Geolocation Engine: Utilized Google Maps Platform (Geolocation & Places API) to calculate precise distances, ensuring patients are matched with active clinics and stocked pharmacies strictly within a 2km radius. B2B Pharmacy Network: Developed a collaborative marketplace feature that allows competing local pharmacies to share and sell stock to each other digitally when facing inventory shortages. Generative AI Health Assistant: Integrated Google Gemini Flash 1.5 to power a smart, multilingual chatbot capable of interpreting prescriptions, explaining medication side effects, and translating instructions for patients. Frictionless Onboarding: Implemented secure, passwordless authentication using Google Identity Services via Supabase Auth. Impact: Turned disconnected, offline local pharmacies into a collaborative, digitized fleet capable of outperforming centralized e-pharmacy delivery times while improving patient access to immediate care.

Sahaayak

🚀 Project Sahaayak – IoT-Integrated Solar-Powered Robot for Smart Waste Management As part of Smart India Hackathon 2025 (PS ID: 25111 | Clean & Green Technology | Hardware Category), our team NovaX designed Project Sahaayak — an autonomous, IoT-enabled, solar-hybrid robotic system aimed at transforming urban waste management. 🔍 Problem We Addressed: Urban areas struggle with inefficient manual collection, lack of waste segregation at source, overflowing bins, and absence of real-time monitoring systems. 💡 Our Solution: Project Sahaayak introduces a proactive, mobile waste collection model that: Performs on-board wet and dry waste segregation Uses a solar-hybrid power system for energy efficiency Transmits real-time data to a centralized municipal portal Reduces operational costs and carbon footprint Improves hygiene and sanitation standards ⚙️ Tech Stack & Components: Arduino R3 & ESP32-CAM Ultrasonic, IR, and Moisture Sensors Solar Panel + Li-ion Battery Pack IoT integration with Web Dashboard (Python/Node.js + React/Vue) Future scope: TensorFlow Lite & SLAM-based navigation 🌱 Impact: Cleaner communities Data-driven municipal planning Reduced strain on sanitation workers Sustainable and scalable waste ecosystem This project reflects our commitment to combining IoT, robotics, renewable energy, and smart city infrastructure to build practical, scalable, and sustainable solutions.