AI Innovation Lab
Empowering the Future with AI-Driven Excellence
AI-Powered Analytics and Insights
Seek Innovation Consulting Ltd provides AI-driven analytics to help
businesses predict trends, analyze customer behavior, and make
data-backed decisions. Our tools include sales forecasting, real-time data visualization, and market trend analysis to enhance strategic planning.
Natural Language Processing (NLP) Services
We offer NLP solutions like chatbots for customer support, sentiment analysis for feedback, and speech-to-text tools for transcription. These services enable seamless human-machine interactions and improve communication efficiency.
AI Vision Suite
Seek Innovation Consulting Ltd delivers computer vision solutions for facial recognition, object detection, and quality inspection. Our services are ideal for security, manufacturing, and augmented reality applications.
AI for Customer Experience
Our AI solutions enhance customer interactions through personalized
recommendations, dynamic pricing, and virtual shopping assistants. We also improve CRM systems to boost engagement and loyalty.
Medical AI Platform
We offer advanced AI diagnostic tools for medical imaging analysis, patient
diagnostics, and drug discovery. We specialize in Brain-computer interfaces
and healthcare analytics dashboards
Intelligent Robotics
We specialize in drone-based mapping and surveillance, autonomous navigation systems, and smart sensor integration.
AI for Education
Seek Innovation Consulting Ltd offers AI tools for personalized learning,
automated grading, and virtual tutoring. Our solutions analyze student
performance to enhance educational outcomes.
AI for Logistics and Transportation
We optimize routes, predict maintenance needs, and automate warehouse operations with AI. Our demand forecasting and autonomous vehicle
solutions improve logistics efficiency.
AI for Legal and Compliance
Our AI tools automate contract review, legal research, and compliance
monitoring. We help law firms and businesses manage risks and streamline document processing.
Projects
Safe Rail Inspection System
Al-powered rail track monitoring using trolley-mounted cameras and real-time defect detection via computer vision.
Technology Stack
1.YOLOv7/PyTorch object detection + ONNX-optimized inference pipeline
2.Industrial-grade high-speed cameras + edge-computing GPUs deployed via Docker
3.Serverless lot for field data + PostgreSQL for defect analytics
Applications
1.Crack/obstruction detection at 160 FPS
2.Predictive maintenance scheduling using defect trend analysis
3.Automated compliance reporting for rail safety audits
Funding
Implemented with 2.5 Million PKR support from Pakistan Railways for pilot deployment on Karachi-Lahore routes.
Construction Safety Al System
Real-time PPE compliance monitoring and geofencing enforcement through computer vision and GPS tracking.
Technology Stack
1.PyTorch-based YOLOV8 models for PPE detection + ONNX edge optimization
2.GPS/GIS integration for geofencing + Containerized FastAPI microservices
3.PostgreSQL + Redis for real-time alerts and site analytics
Applications
1.Automated PPE (helmets/vests) compliance checks
2.Restricted zone intrusion alerts via geofencing
3.Safety audit logs for regulatory compliance
Funding
Developed with technical support from local industry for construction safety innovation.
Al Medical Diagnostics Platform
Deep learning systems for radiological pattern detection (ground glass opacity) and neurological disorder prediction (epilepsy) through multimodal data analysis.
Technology Stack
1.3D CNN models in PyTorch/MONAI + ONNX-optimized inference
2.DICOM-compliant architecture with FastAPI/Docker + PostgreSQL
3.Hospital PACS integration using custom application
Applications
1.Early-stage lung abnormality detection in CT scans
2.EEG-based seizure prediction algorithms
3.Unified diagnostic dashboard for clinicians
Funding
Developed through academic collaboration with Pakistan’s HEC and partner hospitals for clinical validation.
Camouflage Pest Detection System
Al-enhanced app for identifying hidden agricultural pests through imaging and pattern recognition.
Technology Stack
1.Custom model + ONNX-optimized edge deployment
2.App integration + containerized microservices architecture
3.Geospatial PostgreSQL database with GCP Cloud Run for aerial data
Applications
1.Real-time pest hotspot mapping in crop fields
2.Precision pesticide deployment guidance
3.Crop health monitoring via infestation trend analysis
Funding
Developed with research support from Pakistan’s Higher Education Commission (HEC) for precision agriculture initiatives.
Automated Quality Control System
Al-powered conveyor line inspection with real-time defect detection and precision product segregation.
Technology Stack
1.YOLOV8/PyTorch object detection → ONNX-optimized edge inference
2.Industrial cameras + Containerized FastAPI + Redis streaming
3.PostgreSQL + GCP Vertex Al for defect archives
Applications
1.High-speed automated product sorting
2.Surface defect classification (over burning / deformations)
3.Batch compliance certification generation
Funding
Developed through technical partnerships with local manufacturing leaders for factory-floor integration.
Driver Assistance System
Al-powered behavioral monitoring combining facial expression analysis, posture detection, and traffic pattern recognition for enhanced road safety.
Technology Stack
1.Computer vision pipeline with PyTorch/OpenCV + ONNX-optimized models
2.Edge-cloud architecture using Docker + Redis real-time data streaming
3.Vehicle telemetry integration via cameras + PostgreSQL logging
Applications
1.Real-time driver fatigue/drowsiness alerts with 95% accuracy
2.Adaptive control recommendations based on vehicle type detection
3.Collision prevention through lane discipline analysis
Funding
Collaborative R&D project with $1 Million USD funding from Korean Government (MSIT) for system development and road testing.
Food Shelf Life Prediction App
Al-driven visual spoilage detection and expiration forecasting through real-time object recognition.
Technology Stack
1.PyTorch object detection models optimized with ONNX runtime
2.Streamlit web interface + FastAPI backend deployed via Docker
3.PostgreSQL database with microservices architecture for batch processing
Applications
1.Consumer-level freshness checks via smartphone camera
2.Retail inventory management with expiration tracking
3.Supply chain optimization using spoilage prediction
Funding
Developed with 0.4 Million PKR seed funding from Pakistan’s Higher Education Commission (HEC) for pilot testing.
Engagement Detection for Online Classes
Al-powered real-time attention tracking and participation analysis for virtual learning environments.
Technology Stack
1.Deep learning models built with PyTorch, optimized via ONNX runtime
2.Microservices architecture using Docker, PostgreSQL, and REST APIs
3.Serverless deployment with auto-scaling for live video processing
Applications
1.Automated attendance and focus metrics for educators
2.Personalized student performance dashboards
3.Institutional analytics for curriculum optimization
Funding
Secured 0.5 Million PKR from the Higher Education Commission (HEC) Pakistan for prototyping and validation.
Autonomous Area Mapping System
Swarm robotics platform using SLAM for real-time 3D mapping and exploration of unstructured environments.
Technology Stack
1.ROS-based SLAM algorithms + PyTorch-trained navigation models optimized via ONNX
2.NVIDIA Jetson edge devices + LiDAR/depth cameras deployed via Docker
3.Distributed PostgreSQL/Redis architecture for swarm coordination
Applications
1.Disaster zone mapping for rescue operations
2.Industrial site inspection in hazardous areas
3.Agricultural land surveying and crop analysis
Funding
Developed through collaborative R&D with Pakistan’s Higher Education Commission (HEC) and local industry partners.
Panorama Camera Ball for Disaster Management
Al-integrated spherical imaging system delivering 360° real-time situational awareness and hazard mapping in crisis zones.
Technology Stack
1.Computer Vision based panoramic image stitching
2.Embedded Linux edge computing with Containerized Socket/REST microservices
3.PostgreSQL/PostGIS geospatial database + WAN for field connectivity
Applications
1.Rapid structural damage assessment post-disaster
2.Live survivor detection in debris via thermal/visual fusion
3.Dynamic evacuation route planning using hazard heatmaps
Funding
Developed with technical and financial support from Pakistan’s HEC and local industry partners for disaster response innovation.
Brain Computer Interface (BCI) System
EEG-driven neural interfaces enabling therapeutic interventions, driver fatigue monitoring, and direct drone/device control through brainwave patterns.
Technology Stack
1.PyTorch-based deep learning models for EEG signal processing + ONNX optimization
2.OpenBCI hardware integration + Docker for scalable deployment
3.MongoDB time-series database + MQTT protocol for real-time neural data streaming
Applications
1.Non-invasive neurorehabilitation therapies for stroke patients
2.Driver drowsiness detection via EEG signatures during operation
3.Mind-controlled drone navigation for assistive technologies
Funding
Multi-phase R&D collaboration with Korea’s MSIT.
Would you like to start a project with us?
Schedule a no-obligation consultation to discuss your project in detail. Let’s explore how we can work together to turn your vision into reality.