Thermino Thermal Analytics & Modeling System

An advanced thermal analytics and deep learning software application engineered for heat distribution modeling, automated infrared anomaly detection, and predictive thermal profiling.

Key Highlights

Confidential Software · Thermal Deep Learning · Christ University

Confidential software platform developed under Christ University guidance
Deep learning neural networks for infrared pattern recognition and thermal gradients
Full-stack analytical dashboard rendering dynamic heat maps and predictive graphs
Integrated anomaly detection alerting for critical temperature thresholds

Tech Stack & Tools Used

Deep Learning

Python

React

TypeScript

Thermal Modeling

PyTorch

01. Data Acquisition

Ingested thermal sensor arrays and infrared image feeds into pre-processing data pipelines.

02. Model Engineering

Developed deep learning regression and classification models to identify thermal hotspots.

03. Frontend Integration

Built a responsive dashboard to visualize thermal telemetry and real-time inference results.

04. Outcome

Delivered a full-stack thermal analytics suite for experimental and industrial evaluation.

Outcome

Engineered specialized deep learning models for thermal heat map analysis and automated diagnostics.

Demonstrates end-to-end software execution, clean UI polish, and practical problem solving.

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Case StudyFull-Stack2026 — Present

Confidential Deep Learning Project @ Christ University