Projects using TensorFlow in Lahore
Projects using TensorFlow in Lahore
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Yasir Basheer
O-A: Predictive Demand Dashboard
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9
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Usman Haider
Trained a DreamBooth LoRA model to generate high-quality, personalized image outputs with consistent subject identity across different prompts and styles. The project involved dataset preparation, image captioning, and fine-tuning diffusion models using LoRA for efficient training and deployment. The solution enables fast generation of customized visuals while preserving subject consistency, style control, and high fidelity, suitable for creative, branding, and content generation use cases.
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110
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AHMAD YASIN
Dill Plant Disease Detection
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Hammad Bin Sajjad
Pixel Character Sprites Generation
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30
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Fariha Muazzam
At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.
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278
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Haris Asif
An end-to-end OCR pipeline combining YOLOv11s for real-time document region detection with EasyOCR for multilingual text extraction from scanned documents and images.
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19
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Ali Hamza
Identification of fabric defects using Deep Learning
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Zuha Junaid
Facial Emotion Recognition AI Designed and trained a custom CNN to classify human facial expressions into 7 categories using the FER-2013 dataset. Built an interactive Streamlit dashboard for real-time emotion prediction from images. Implemented class weighting to address dataset imbalance and improved model performance. Custom CNN Architecture Real-time Dashboard 84% Accuracy Technologies Python TensorFlow Keras CNN Streamlit
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Abdullah CH
Emotions AI
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Zohaib Khalid
AI-Powered Customer Service Chatbot
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15
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Ali Jafar
Project-Trojan
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8
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Irtaza Ahmed
Text Classification In Python | NLP Projects
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11
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AHMAD YASIN
Face + Fingerprint Door Unlock System
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7
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Haris Asif
A real-time multi-object detection and tracking system built with YOLOv8. It detects objects in video streams and assigns persistent IDs across frames, enabling real-time tracking for surveillance and motion analysis.
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Haris Asif
A face recognition system that identifies and verifies individuals from images and live video streams using deep learning-based facial embeddings and similarity matching.
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Haris Asif
A real-time facial landmark detection system built with OpenCV and MediaPipe. It tracks 468 facial landmarks from live video, enabling applications such as facial analysis, eye tracking, expression analysis, and AR overlays.
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