AI and Machine Learning
We build machine learning systems that solve real problems, not just models that score well in Jupyter notebooks. From data preprocessing and feature engineering to model deployment and continuous monitoring, we own the full ML lifecycle.
Services within AI and Machine Learning
End-to-End Ownership
From data ingestion to model deployment and retraining pipelines.
Production-Grade ML
Models that run reliably in production, not just in notebooks.
Continuous Improvement
Monitoring and retraining pipelines that keep models accurate over time.
Real Work in AI and Machine Learning
SAR-Based Rice Health Monitoring System
A full-stack platform for cloud-free rice crop health monitoring across Punjab's kharif season - using Sentinel-1 SAR imagery to classify fields as Stressed, Moderate, or Healthy in 15-day windows, with Random Forest, XGBoost, and MLP models validated at 87.5% accuracy.
SmartDiet.AI - Adaptive AI Nutrition Platform
An intelligent nutrition and wellness platform that replaces one-size-fits-all diet plans with fully personalised, continuously adapting meal and workout protocols - powered by a v2.0 AI engine with SHAP explainability, metabolic plateau detection, and an integrated AI nutrition chat assistant.
Dental AI - Intelligent Dental Diagnostic Platform
A full-stack dental healthcare platform combining deep learning disease detection, RAG-powered virtual dentist chat, and a complete appointment and treatment management system - all in one web application.
Precast Concrete AI Inventory System
An AI-powered inventory monitoring platform for precast concrete manufacturing yards - combining YOLO object detection with Excel-based records to automate stock counting, validate inventory, and surface discrepancies through a real-time operations dashboard.
SpineVision AI - Spine Disease Detection from X-Ray
An AI-powered diagnostic web platform that detects spinal conditions from uploaded X-ray images using a DenseNet-121 + YOLOv9 dual-model pipeline - giving healthcare professionals instant, AI-assisted analysis with a results history and admin oversight dashboard.
Multimodal OR Video Analytics Pipeline
A research-grade multimodal video analytics pipeline for operating rooms - fusing full-body pose, hand state, gaze direction, posture classification, and multi-person tracking with a LLaVA v1.5-7B vision-language model fine-tuned via QLoRA to recognise surgical staff roles from multi-camera OR footage.
Real-Time Snooker Ball Detection System
A fully cloud-deployed AI vision system that detects and tracks all 22 snooker ball classes in real time from a mobile camera - GPU inference via WebSocket, automatic session recording, and browser-accessible from any phone without an app install.
Ready to build with AI and Machine Learning?
Book a free 30-minute scoping call. We will scope the right approach for your specific challenge.