Joymangol Chingangbam

Final-year B.Tech Computer Science and Engineering student

Imphal West, ManipurSoftware Development, Artificial Intelligence and Machine Learning

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3roles

32skills

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4credentials

About

Final-year B.Tech Computer Science student at Manipur Technical University with hands-on experience building full-stack applications, AI/ML tools, computer vision systems, and IoT solutions. Experienced with React.js, Next.js, Python, ResNet50, GPT-4o mini, and multi-agent AI systems.

Experience

Data Science Intern

Tripple One Solutions, affiliated with IIT Kharagpur

Aug 2025 – Sep 2025 · Remote

Completed an intensive training programme covering machine learning theory and applied data analysis, followed by client-facing data science project work. Delivered data analysis and machine learning solutions using Python, scikit-learn, pandas, and data visualisation libraries.

Internship – Automatic License Plate Recognition (ALPR)

MTU / Cubeten Technologies

2023 · Imphal, Manipur

Engineered a real-time automatic license plate recognition system using Google Cloud Vision API, Node.js, and Raspberry Pi 4. Built a responsive monitoring dashboard with HTML, CSS, and JavaScript and worked as part of a cross-disciplinary three-member CSE and EE team.

Technical Team Member

FENOMENON 2025, Manipur Technical University

2025 · Manipur Technical University

Contributed to event coordination and technical operations for the MTU Annual Technical Fest.

Education

Manipur Technical University

B.Tech, Computer Science & Engineering

2022 – Present (Expected June 2026)

CGPA: 7.9/10 through the 7th semester. Relevant coursework includes Data Structures & Algorithms, Machine Learning & Artificial Intelligence, Web Technologies & Full Stack Development, and IoT & Embedded Systems.

CBSE Board

Higher Secondary (Class XII)

2022

Division I

CBSE Board

Secondary (Class X)

2020

Division II

Skills

PythonCC++TypeScriptReact.jsNext.jsNode.jsTailwind CSSHTMLCSSResNet50PyTorchAzure AI FoundryGPT-4o miniGoogle Cloud Vision APIscikit-learnpandasn8nLLM API integrationMulti-agent system designWorkflow automationRaspberry Pi 4ArduinoSupabasePostgreSQLFirebaseGitGitHubLinuxFigmaGoogle ColabVS Code

Projects

AI-Based Seed Quality Assessment & Farmer Feedback System

B.Tech final-year project using Next.js, Tailwind CSS, Shadcn/UI, Supabase, ResNet50, and Azure AI Foundry with GPT-4o mini. Trained a deep learning model to score seed quality from 0–100 and classify risk as Genuine, Counterfeit, or Suspicious. Developed an end-to-end web application with a farmer complaint module, regional reporting, district-level risk visibility, and contextual AI advisory responses. Solely responsible for the AI model training pipeline and UI/UX design.

MTU Technical Fest Website – FENOMENON 2026

Designed and shipped the official responsive event website using React.js, Next.js, and Tailwind CSS, including event schedules, registration information, and real-time updates for more than 500 attendees.

BoardroomAI Lite – Multi-Agent Startup Strategy Simulator

Built an AI-powered multi-agent system using n8n workflow orchestration. Role-based CEO, CTO, Marketing, and Finance agents collaboratively analyze startup ideas and generate business strategies, MVP plans, budget breakdowns, and investor-focused reports through automated sequential workflows.