Freelancers using PyTorch in Houston
Freelancers using PyTorch in Houston
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Akshat Sharma
Houston, USA
Full Stack Developer | Project Manager | Executive Assistant
55
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Full Stack Developer | Project Manager | Executive Assistant
19
🌳 Tree Crown Detection, Done Right We built an AI system that detects and segments individual tree crowns in aerial imagery, producing clean, non-overlapping boundaries. Using RetinaNet + Mask R-CNN, our model outperforms Detectree2 with fewer false positives, no over-segmentation, and GIS-ready outputs, even in dense forests. #AI #ComputerVision #RemoteSensing
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🚨 Turning CCTV Into a Crime-Prevention AI System We helped build Aegis FaceGuard, an AI-powered security platform designed to prevent armed robberies before they happen—not after. In high-risk regions like Colombia, traditional CCTV only records. This system predicts, detects, and reacts — instantly. Here’s what it catches in real time: 🪖 Helmet detection 🔫 Gun detection 🎭 Mask detection 👤 Suspicious posture ⚠️ Threat movement patterns When danger appears, the system automatically: Triggers alarms Alerts police Notifies the owner Saves evidence — all within milliseconds This is security before the crime, not after. If you're building AI for public safety, retail protection, or real-world automation, I’d love to connect. 🔥 #AI #ComputerVision #SecurityTech
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AI Legal Case Analysis — Expert Evidence Prediction This project demonstrates an AI tool that analyzes legal cases and predicts how a judge may view expert testimony. Using structured case data and LLM reasoning, the system compares past rulings involving Dr. Bailey with a new case scenario. By parsing the actual judgment text: “I accept Dr Bailey’s evidence…” The model evaluates patterns in credibility, cross-examination outcomes, and judicial language. It then generates a predicted ruling, concluding that the judge would likely consider Dr. Bailey’s expert evidence credible again. This showcases: Smart case-to-case comparison Expert-evidence credibility scoring LLM legal reasoning Structured JSON analysis #LegalTech #AIforLaw #CaseAnalysis #LLMReasoning #ContraPortfolio
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AI-Powered Skin Analysis — Precision That Transforms Skincare Leveraging advanced computer vision and machine-learning models, I create AI solutions that deliver high-accuracy skin analysis in seconds. The tool showcased here scans facial features and intelligently maps key skin concerns, including: Fine Lines – Early detection of texture changes Dark Spots – Identifying hyperpigmentation clusters Dark Circles – Assessing depth and coloration Pigmentation – Mapping uneven tone and melanin distribution Each analysis generates a clear visual breakdown, overlaying grid lines and markers directly If you’re looking to incorporate AI-driven skincare technology into your brand or product, I’d be delighted to collaborate. #AI #SkinAnalysis #BeautyTech #MachineLearning #ComputerVision #AIDermatology #SkincareInnovation #ContraPortfolio
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