Tensorflowproiecte

Am nevoie de o aplicatie in tensorflow pentru comanda vocala, aplicatia trebuie sa fie in romana.

...expresiones para que cada usuario refine su propio clon digital. • Interacción en tiempo real con los avatares, de modo que puedan responder con movimiento y voz sintética al instante. Tecnologías y experiencia deseadas Busco a alguien con dominio en deepfake, GANs, modelado y rigging 3D, animación facial, motion capture y síntesis de voz neural. Se valorará manejo de frameworks como PyTorch o TensorFlow, motores de renderizado en tiempo real (Unity o Unreal Engine) y herramientas de tracking facial. Alcance del desarrollo 1. Investigación y selección de los algoritmos más adecuados para alcanzar un realismo extremo. 2. Entrenamiento y validación de redes generativas que produzcan mallas 3D coher...

...kemajuan Anda. 3. *Notifikasi Desktop*: AI program akan mengirimkan notifikasi desktop untuk mengingatkan Anda tentang tugas-tugas yang harus diselesaikan dan tujuan yang harus dicapai. 4. *Interaksi Dasar*: AI program akan dapat berinteraksi dengan Anda secara dasar, seperti menjawab pertanyaan dan memberikan informasi. *Teknologi yang Digunakan* 1. *Bahasa Pemrograman*: Python 2. *Framework AI*: TensorFlow atau PyTorch 3. *Sistem Notifikasi*: Desktop Notifier (seperti plyer atau pynotify) 4. *Database*: SQLite atau MongoDB *Metode Pengembangan* 1. *Pengumpulan Kebutuhan*: Kami akan mengumpulkan kebutuhan dan preferensi Anda untuk memahami apa yang Anda butuhkan dari AI program. 2. *Desain*: Kami akan merancang arsitektur dan antarmuka AI program. 3. *Pengembangan*: Kami aka...

...web interface that presents predictions in an easy, fan-friendly format. Odds-style percentages, form graphs, and key player influences should surface prominently so visitors can grasp the rationale behind each forecast without reading a research paper. Front-end can be React, Vue, or another modern framework you’re comfortable with, as long as it’s lightweight and mobile responsive. Python (TensorFlow, PyTorch, or scikit-learn) is fine for the back-end model; Node or Django for the API that serves predictions—your choice so long as deployment to a standard cloud stack (AWS, GCP, or similar) is straightforward. Deliverables • End-to-end trained model with reproducible training script • Automated data-ingestion jobs connected to the two specif...

...through workout exercises and analyzes body movement during the exercise using the front camera. Pose detection must run locally on the device using: MoveNet Lightning – TensorFlow Lite No video or images should be uploaded to the server. The app should follow an offline-first approach, allowing workouts and results to be stored locally when internet is unavailable. Budget: FROM 400 TO 1000 $ Timeline: Flexible Tech Stack Framework Flutter (Dart) Expected packages: camera tflite_flutter video_player flutter_secure_storage Hive or SQLite Backend: Supabase Pose Detection Model: MoveNet Lightning (TensorFlow Lite) Important Project Scope The motion signatures for exercises will be provided by us. Each motion signature represents the reference movement ...

...behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables • Source code with clear setup ...

...cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables • Source code with clear setup inst...

...clients. The project is urgent and needs to be completed ASAP. Key Requirements: - Engaging and interactive presentation of AI capabilities - High-quality visuals and graphics - Clear and concise messaging tailored to potential clients - Experience in marketing materials and AI technologies is a plus Scope • Build the complete workflow in Python, using current mainstream libraries (scikit-learn, TensorFlow or PyTorch, plus supporting tools such as pandas, NumPy, and Streamlit/Plotly for visual insights). • Provide clean, reproducible code, modular enough to be adapted later. • Document the entire pipeline with architecture and data-flow diagrams, plus a concise narrative that explains each stage to a non-technical audience. • Incorporate rigorous evaluation...

...product pages, and in abandoned-cart emails. • Sales forecasting dashboards that help me plan inventory and promotions. • Customer-behavior analysis to segment audiences, predict churn, and surface upsell opportunities. Tech expectations Python is non-negotiable; a Django or FastAPI backend paired with a lightweight front end (React or plain HTML/CSS is fine) makes sense. For ML models, TensorFlow, PyTorch, or scikit-learn are acceptable, provided they can be trained on my transactional data and updated regularly. The marketing layer may tap APIs such as Twilio or WhatsApp Business. Acceptance criteria 1. A live, responsive e-commerce site running on my server or cloud account. 2. Admin console with inventory, order, and campaign modules fully tested. 3. M...

Project Title: Iraqi License Plate Detection and Recognition using Python (YOLO + OCR) Description: I am looking for a developer to build a complete Python project for automatic Iraqi vehicle license plate detection a...license plate number and characters. 4. The system should support Arabic letters, English letters, and Arabic-Indic numbers used in Iraqi license plates. 5. Use data augmentation techniques (rotation, blur, illumination changes) to improve model performance. 6. Provide training and testing scripts. 7. Provide the full Python source code. Tools preferred: - Python - YOLOv8 - OpenCV - PyTorch or TensorFlow - EasyOCR or Tesseract Output required: - Full working Python code - Trained model - Instructions to run the project I already have a dataset of Iraqi licen...

...testing, finetuning iterations is key. Key Requirements: • Pure Python RPA, with the core orchestrator, no third part tool. • Web navigation/ scraping with Selenium/Playwright: document download, classification, OCR/text extraction. • Build/train neural networks (e.g., CNNs for image doc classification). • NLP expertise with spaCy for entity extraction. • Computer vision using TensorFlow/OpenCV (offline Vision Libraries preferred). Preferred Skills: • MLOps (e.g., MLflow, Docker for deployment). • Strong problem-solving for complex, error-prone workflows. • 2+ years portfolio with RPA/CV projects (GitHub links required). Project Details: • Milestones: Week 4 (scraper prototype), Week 8 (CV model), We...

...algorithms—feel free to propose anything from Logistic Regression and Random Forests to XGBoost, LightGBM or even a small neural net if it clearly outperforms classical methods • Evaluating with cross-validation and reporting key metrics such as precision, recall, F1, ROC-AUC and a confusion matrix on an unseen hold-out set • Packaging a reproducible solution (Python 3.x, scikit-learn / PyTorch / TensorFlow, Jupyter notebook or .py scripts plus ) so I can rerun the pipeline on fresh data Acceptance criteria 1. End-to-end code executes without manual tweaks on my machine. 2. Final report concisely explains preprocessing choices, model selection rationale and metric results. 3. Trained model and preprocessing objects are saved so I can deploy them in a RE...

...to strip away elements that might provoke irrational responses while keeping the surrounding media unchanged. Here’s what I need you to deliver: • A working browser-based solution (extension, local proxy, or another approach you propose) that processes both static images and streaming video in real time. • Reliable detection of people and animals using modern computer-vision tools (e.g., TensorFlow, OpenCV, YOLO, or alternatives) and seamless substitution with a non-identifying silhouette or blurred overlay. • A simple toggle UI so users can turn the filter on or off without reloading the page. • Clear build/run instructions and concise technical documentation so I can install, test, and demo the concept easily on the latest versions of Chrome a...

...(Jupyter notebook or .py scripts) plus a brief README describing setup, retraining, and inference steps. • Optional but appreciated: a lightweight way to serve the model (e.g., FastAPI endpoint or batch script) so it can slot straight into production. I’ll provide the dataset and any domain context you need right after kickoff. If you have experience with pandas, NumPy, scikit-learn, statsmodels, TensorFlow/PyTorch, or Prophet, you’ll be right at home. Accuracy, clarity, and reproducibility are more important to me than flashy visuals, but a concise plot or dashboard that helps explain the results would be a bonus. Let me know what modeling approach you’d start with, how long you’ll need to deliver the first working prototype, and any assumptions ...

...cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables • Source code with clear setup inst...

...Detailed functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets. • Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security. • A modeling strategy outline suggesting suitable computer-vision approaches, necessary libraries or frameworks (e.g., PyTorch, TensorFlow, OpenCV), and how evaluation metrics like precision, recall, and F1 will be tracked. • Integration points with existing databases or APIs, plus a basic architecture diagram that ties components together. • A phased timeline with milestones, risk considerations, and a resource estimate so stakeholders can plan staffing and budget down the road. Deliver ...

...LSTMs, or classic scikit-learn algorithms), and any advanced techniques—transfer learning, data augmentation, hybrid architectures, etc.—that would let me demonstrate the novelty experimentally. Nothing is set in stone regarding domain, data type, or application area, so feel free to be creative—just keep the technical scope reasonable for one researcher with typical resources (Python, PyTorch/TensorFlow). Acceptance criteria 1. Each topic must reference at least one recent paper or benchmark it seeks to improve or re-direct. 2. The proposed methods should be reproducible with publicly available datasets or clearly point to open repositories. 3. Novelty statements must be specific enough that I can lift them directly into a “contribution” s...

I need a custom-built AI that can take my raw short clips and automatically turn them into polished, “ready-to-share” videos. The tool must recognise good in- and out-points, apply smooth transitions or hard cuts where appropriate, balance and c...folder of clips, pick a destination folder, press “Go”, and receive an edited file. • Cuts feel natural; no jarring jump-cuts unless the algorithm intentionally applies a jump effect. • Average loudness around –14 LUFS with minimal background hiss. • Colour consistency between consecutive shots within ±3 ΔE. You’re free to choose the stack—Python with OpenCV, FFmpeg, or a lightweight TensorFlow/PyTorch model, for instance—as long as setup is simple and per...

...Flow User → Connect Wallet → Sign Message → Dashboard Access Tools WalletConnect SDK Example: import { ethers } from "ethers"; const provider = new (); await ("eth_requestAccounts", []); 2️⃣ AI Trading Engine Ye system market data analyze karke buy/sell signals generate karta hai. AI Models Use frameworks like: TensorFlow PyTorch AI strategies: Price prediction Trend detection Arbitrage detection Sentiment analysis Example AI output: BTC Signal: BUY Confidence: 82% Risk Level: Medium 3️⃣ Market Data System Bot ko real-time market data chahiye hota hai. Sources: Binance API Coinbase API Kraken API Example: Price feed → AI model → Trading signal 4️⃣ Auto Trading Execution AI signal generate hone

...datasets to clean, preprocess, and engineer features. Collaborate with cross-functional teams to integrate AI models into production systems. Lead the evaluation, tuning, and optimization of machine learning models for performance and accuracy. Mentor junior engineers and assist with code reviews and best practices. Skills & Qualifications: Proven expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Deep learning experience with neural networks (CNNs, RNNs, transformers, etc.) and advanced AI models. Strong background in Python programming, data manipulation (NumPy, pandas), and algorithms. Experience in deploying models at scale using tools like Docker, Kubernetes, AWS, or GCP. Solid understanding of statistics, linear algebra, and calculu...

**Project Title:** Source Detection using Human Behaviour Dynamics using Mach...a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of the methodology **Additional Notes:** If you have suggestions for improving the model or methodology, feel free to include them in your...

...tempo and key. On top of that, the whole site needs a polish pass: tighter UI visuals, faster page loading, and the elimination of a handful of known bugs that occasionally break the player or freeze the waveform display. You’ll receive the full codebase (front-end, back-end, and the existing transition logic) along with sample track data so you can test locally. I’m open to any AI stack—TensorFlow, PyTorch, or whatever framework you feel will get the best results—as long as the final experience feels flawless to the end user. Deliverables 1. Refactored autopilot module that uses AI/ML to analyse BPM, key, and energy to pick the next song, cue it perfectly, and apply beat-synced effects. 2. Updated UI with cleaner layout and responsive styling acr...

Hi , I came across your profile and loved your Flutter + AR/AI work! We are building a premium AI fashion & lifestyle app (virtual try-on, beauty, eyewear) in Pune, and looking for experienced developers (not newbies). Could you share your latest portfolio or past projects (especially ARCore, TensorFlow Lite, or fashion/AI apps)? Also, if you’re available for a 4-5 week MVP project, let’s chat. Thanks! Founder, LumiZen App

I need a ...exactly how lightweight the solution is. Acceptance criteria 1. Latency from spoken phrase to callback ≤ 250 ms on both targets. 2. ≥ 95 % wake-up rate in moderate background noise (office chatter, music at low volume). 3. ≤ 2 false activations per hour of continuous speech. 4. Complete build steps and source so I can reproduce the binary from scratch. You are free to use tools like TensorFlow Lite Micro, Porcupine, Picovoice DIY, or a custom DSP pipeline—as long as licensing permits commercial use. I am happy to provide extra voice recordings to help you fine-tune. If you’ve shipped similar models before, let me know; a quick video demo on actual hardware will fast-track selection. data collection and everything should be done solely by t...

...audit trails – Downloadable PDF sanction letters and system logs that satisfy bank compliance requirements. - All things as per referred website Tech stack guidance (flexible if you can justify alternatives): React or Vue front end, Node/Express or Django back end, PostgreSQL, Docker for containerisation, and AWS or GCP for deployment. AI components can leverage Python, scikit-learn, TensorFlow, or a third-party credit-risk API if it accelerates delivery. Chatbot may sit on Dialogflow or Microsoft Bot Framework; email/voice could integrate later through SendGrid and Twilio. Acceptance criteria 1. Demo environment accessible for all four user roles with dummy data. 2. AI risk score aligns within ±5 % of a provided sample model on the same dataset. 3. C...

I’m building a complete AI-driven platform that trades listed option...Acceptance criteria • Latency from data receipt to order placement ≤ 250 ms on my VPS. • Back-test must show at least 500 trades with Sharpe > 1 after fees/slippage on the last two years of SPX options data. • All trades adhere to pre-set max loss and margin rules; violations trigger an alert and auto-shutdown. I’m flexible on tech stack, though Python with libraries like pandas, scikit-learn, TensorFlow and a broker API (IBKR, Tradier, Zerodha, etc.) fits my current environment. Propose your preferred tools if they achieve the same outcome. If you have proven experience building AI or quant systems for options, let’s discuss how you would architect this and timelines ...

...tutoring or technical platform troubleshooting, I specifically need someone who can step in, finish the required tasks, and submit clean, well-commented solutions on my behalf. This will be an ongoing project and will span an year. Typical exercises range from data preprocessing and feature engineering to training and evaluating models with libraries such as Python, NumPy, pandas, scikit-learn, TensorFlow or PyTorch. Code must run flawlessly in the course’s Jupyter-based environment and meet the rubric laid out in each brief (accuracy thresholds, narrative explanations, and any visualisations the instructors request). What I’d like to see in your offer is a short note about your relevant experience—previous AI/ML coursework you’ve completed, projects y...

...task is to identify and download a suitable, well-labelled dataset from Kaggle. Feel free to compare a few candidates, but the final choice should give good class balance and enough samples per disease category. Once the data is in place, walk through exploratory data analysis, preprocessing, and augmentation inside a Jupyter notebook. From there, build and tune a convolutional neural network (TensorFlow / Keras or PyTorch are both fine) and report the usual metrics plus a confusion matrix so I can judge class-wise performance. When the model is satisfactory, save it and wrap inference in a clean Streamlit app where a user uploads a single image and instantly sees the predicted disease name along with a confidence score. Additionally, integrate AI-based recommendations (e.g., t...

...Voice-command execution to let them control key in-app actions hands-free. • Language identification that automatically detects whether the incoming audio or text is Amharic or English before processing. The finished app should run smoothly on Android phones and as a responsive web application; a shared code-base or robust API that feeds both fronts is ideal. I’m open to your preferred stack—TensorFlow, PyTorch, Whisper, or any other modern NLP/ASR tools—as long as model performance stays fast and the architecture can be retrained with additional corpora later. Deliverables 1. Source code with clear build instructions. 2. A runnable Android APK and a hosted web demo. 3. Documentation covering model training steps, data requirements, and how to mod...

I want to build a small, self-contained charging station that wakes up only when it “sees” a bottle and a can. The core will be an Arduino (any recent 32-bit board is fine) tied to a solar panel and battery pack. A lightweight AI vision module or camera running something like TensorFlow Lite or OpenCV should continuously—or on a duty-cycled basis—look for bottles. The moment a bottle is detected, the system must move straight into the charging routine without waiting for external confirmation; no alerts, no logging, just automatic activation. What I need from you • Complete Arduino firmware that integrates the vision trigger with the charge-controller logic. • A schematic / wiring diagram showing how the camera, solar panel, charge controller, ...

...timestamp; frame-level annotation may still be required for optimal accuracy. Scope • Design and train a deep neural network—CNN, transformer, or hybrid model—that detects all three defect categories directly from video streams. • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. • Provide clear metrics: precision, recall, F1, and confusion matrices on a held-out validation set. • Package the final solution with a lightweight REST or gRPC endpoint so the in-house engineering team can call it from our SCADA s...

...2 pipeline that must reliably spot nuts and bolts in a live camera feed and publish their positions to the rest of my stack in real time. Your job is to create the complete vision-detection module—from model training or fine-tuning through to a clean ROS 2 node that subscribes to an image topic and spits out the detected objects with bounding boxes (or masks) and a confidence score. OpenCV, TensorFlow/PyTorch and any of the common ROS 2 image-transport plugins are all fine as long as the final node runs on Humble and stays GPU-agnostic (CUDA acceleration is a bonus, not a requirement). I already have a test rig with a standard USB camera; if you need specific calibration images I can capture them for you. Please deliver: • Source code for the detection model and ROS ...

...browser or local environment. Explanations will be detailed and actionable, so the platform can be maintained independently without guesswork. Functionality is non-negotiable, with every component—from AI modules to smart contract execution—fully operational and integrated. This project is ideal for a technical collaborator who is experienced in AI/ML integration using Python frameworks such as TensorFlow or PyTorch, proficient in blockchain development and smart contracts, and skilled in full-stack web development with JavaScript and Python. Familiarity with responsive design, conditional logic, and building scalable, secure applications is essential. The goal is not just to build a functioning product, but to create a robust, maintainable, and brand-aligned AI + bl...

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

...logos, motion graphics, illustrations Adobe Photoshop / Illustrator SEO articles, landing pages, marketing copy Digital Marketing & Social Media SEO, SEM, conversion optimization Paid ads, audience targeting, analytics Video Production & Editing Promotional and social videos Premiere Pro / After Effects AI & Machine Learning Integration Chatbots, NLP tasks, model fine-tuning Python / TensorFlow / PyTorch Cloud & DevOps Infrastructure AWS / Azure / GCP CI/CD pipelines, Docker, Kubernetes Cybersecurity & Security Audits What You Should Include in Your Bid Relevant experience with one or more of the above skills Portfolio or links to previous work Estimated timeline & deliverables Hourly rate or fixed price quote...

...illustrations Adobe Photoshop / Illustrator SEO articles, landing pages, marketing copy Technical documentation Digital Marketing & Social Media SEO, SEM, conversion optimization Paid ads, audience targeting, analytics Video Production & Editing Promotional and social videos Premiere Pro / After Effects AI & Machine Learning Integration Chatbots, NLP tasks, model fine-tuning Python / TensorFlow / PyTorch Cloud & DevOps Infrastructure AWS / Azure / GCP CI/CD pipelines, Docker, Kubernetes Cybersecurity & Security Audits What You Should Include in Your Bid Relevant experience with one or more of the above skills Portfolio or links to previous work Estimated timeline & deliverables Hourly rate or fixed price quote ...

...depth of knowledge across Python, Scala and SQL. Our stack centres on Azure and Databricks, so practical insight into large-scale Spark/PySpark jobs, data-model design, ETL orchestration and cloud performance tuning is essential. Candidates frequently discuss streaming, optimisation strategies and modern AI/ML add-ons, so any hands-on exposure to libraries such as PyTorch, NumPy, SciPy or TensorFlow will help you challenge them at the right level, though it is not mandatory. Availability is limited to two focused hours per weekday; I will share the interview schedule at least 24 hours in advance. After each session you will file a concise written assessment noting technical strengths, gaps and a simple hire/no-hire recommendation. Consistency and quick turnaround are key. ...

...focused on image generation, and I want the results to be crisp, large-format visuals rather than the low-res outputs many models settle for. Your task is two-fold: first, curate or assemble a fit-for-purpose dataset (I don’t yet have one), and second, train a state-of-the-art z-image diffusion model that consistently produces high-resolution renders. You’ll have freedom in tool choice—PyTorch, TensorFlow, DreamBooth, LoRA or any other modern techniques are fine—as long as the final model can be reproduced from the training scripts you deliver. I expect the usual artefacts: cleaned dataset (with clear licensing notes), training code, model checkpoints, and a concise README outlining hyper-parameters, compute used, and instructions to run inference locally...

I need a purpose-built CRM for the strata industry that leans heavily on AI to wipe out repetitive admin and give committees, owners and managers instant insight. The solution must weave in predictive analytics to flag maintenance a...summarising KPIs and AI-driven alerts Deliverables: • End-to-end technical architecture and stack proposal • Iterative builds in a visible repo • Production deployment with monitoring • Training materials and a clean hand-over pack • Acceptance demo on a sample building plus a load test simulating 10,000 concurrent users If you’ve previously merged CRM frameworks with machine-learning tools such as TensorFlow, PyTorch or Azure AI, and understand Australian privacy requirements, walk me through your approach and timeline...

...similar visual confirmation so users clearly see what the model found. Beyond that essential functionality, I’m open to expanding into deeper facial insights—age, emotion, gender, or related analytics—if you have an off-the-shelf model or a custom pipeline that can slot in cleanly. My priority, however, is to ship a polished, latency-friendly MVP that runs either server-side (Python + OpenCV, TensorFlow, or similar) or directly in the browser via or MediaPipe. I’m comfortable hosting on typical cloud stacks, so just note any special environment requirements. Deliverables: • A responsive web page (HTML/CSS/JS or framework of your choice) with an intuitive image-upload interface. • Integrated face-detection model returning on-screen visu...

...datasets into clear, data-driven insights through an AI-powered analysis workflow. The goal is a self-contained solution that ingests spreadsheets or database exports, cleans and transforms the information, uncovers meaningful patterns and trends, then delivers the results as shareable files and a concise report or dashboard. You may choose the most effective stack—Python with Pandas, scikit-learn, TensorFlow, or similar—so long as it runs reproducibly on a standard Linux environment. I will supply sample data and outline the business questions once we start; from there I expect you to design and code the pipeline, select suitable algorithms, train and validate any models, and document every step clearly. Deliverables • Well-structured, commented source code ...

...similar visual confirmation so users clearly see what the model found. Beyond that essential functionality, I’m open to expanding into deeper facial insights—age, emotion, gender, or related analytics—if you have an off-the-shelf model or a custom pipeline that can slot in cleanly. My priority, however, is to ship a polished, latency-friendly MVP that runs either server-side (Python + OpenCV, TensorFlow, or similar) or directly in the browser via or MediaPipe. I’m comfortable hosting on typical cloud stacks, so just note any special environment requirements. Deliverables: • A responsive web page (HTML/CSS/JS or framework of your choice) with an intuitive image-upload interface. • Integrated face-detection model returning on-screen visu...

...performance report • Customer visit history • Suspicious activity report • Export to PDF and Excel ⸻ 7. Hardware Integration System must support integration with CCTV cameras such as: • Hikvision • Dahua Technology • TP-Link • CP Plus Or recommend compatible AI camera hardware. ⸻ Preferred Technology Stack • Backend: Python or Node.js • AI and Computer Vision: OpenCV, Face Recognition, TensorFlow • Database: Firebase or PostgreSQL • Frontend: React or Angular • Cloud: Google Cloud Platform or Amazon Web Services ⸻ Deliverables • Fully working AI system (production-ready) • Web dashboard (admin panel) • Camera integration setup • Installation guide • Camera configuration g...

...coverage starts simple—vegetarian and non-vegetarian options both need first-class support. I’m open to adding further filters such as vegan or gluten-free once the foundation is solid, so structuring the data model with extensibility in mind is important. I picture an intuitive mobile experience backed by a robust recommendation engine. If you’re comfortable pairing something like Python / TensorFlow (or a comparable ML stack) with a cross-platform front-end—React Native, Flutter, or a solid web PWA—I’d love to see how you’d architect it. Key deliverables • Working AI model that outputs daily/weekly meal plans based on user profiles • Automatic generation of consolidated shopping lists, grouped by aisle/category &bull...

...dasar yang nantinya bisa diarahkan ke use-case terbaik—apakah chatbot, klasifikasi teks, atau terjemahan masih terbuka untuk diskusi. Ruang lingkup kerja: • Satu ilustrasi digital resolusi tinggi (layer terpisah, format PSD/PNG). • Dokumentasi singkat workflow gambar: software, brush, ukuran kanvas. • Notebook atau skrip Python yang membangun model NLP sederhana menggunakan library umum (TensorFlow, PyTorch, atau spaCy). • Panduan ringkas untuk melatih ulang model dengan dataset saya di kemudian hari. Kriteria keberhasilan: • Ilustrasi tajam, proporsi tepat, dan mudah di-scale. • Notebook dapat dijalankan end-to-end di mesin lokal dengan GPU standar, tanpa error. Jika Anda berpengalaman di bidang ilustrasi sekaligus machine learn...

...that can reliably detect vehicle licence plates and traffic signs in real-time video or still images. Everything must run locally without any cloud calls, built on TensorFlow and Keras with only open-source components. My goal is to receive a solution that I can drop onto an edge device or standard PC, start a camera feed, and immediately see bounding boxes around plates and recognised traffic signs. Model accuracy must be on par with commonly cited public weights; speed should be good enough for at least 15 fps on a mid-range GPU (CPU-only fallback appreciated). Deliverables • Fully documented source code in Python using TensorFlow + Keras • Pre-trained weights (or clear training script plus instructions to reproduce) for licence-plate and traffic-sign cla...

...deep-learning solution that watches a driver’s face through a standard camera feed, tracks eye-closure patterns and yawning frequency, then translates those cues into a clear fatigue score that updates continuously. Over a journey the model should also plot a time-based curve so I can see how alertness rises or falls. Please build and train the full pipeline in Python, preferably with PyTorch or TensorFlow paired with OpenCV for video handling. The system must be completely vision-based; no wearables or contact sensors. I will supply sample clips for initial testing, but the code should accept any 30 fps video stream so I can later attach it to an in-car webcam. The final hand-off should include: • Inference script that ingests a live or recorded feed, detects eyes...

I need a lightweight AI application that runs smoothly on a standard Windows laptop and lets me create animations and cartoon-style images or...video, adjust colours, crop/resize images). What I expect from you • Complete source code, clearly commented. • An installer or one-click setup for Windows that handles every dependency. • A brief “getting started” guide so anyone on my team can install and use it without prior AI knowledge. Feel free to leverage open-source frameworks such as Stable Diffusion, AnimateDiff, PyTorch, TensorFlow, or similar, provided the final package remains budget friendly and easy to maintain. I’m open to your suggestions on the tech stack so long as the end result meets the goals above and keeps resource use mod...

...денежных потоков, выявлять сезонность и потенциальные кассовые разрывы, визуализировать их интерактивными графиками. • На основании поведения, целей и риск-профиля выдавать полностью индивидуализированные планы: от ежемесячных лимитов до долгосрочных целей (ипотека, образование и т. д.) с объяснением логики модели. Технологии и требования Python/TypeScript, современные ML-фреймворки (PyTorch, TensorFlow или аналог), LLM/ChatGPT-style слой для диалогового интерфейса, а также шифрование данных at-rest и in-transit. Допускаю cloud-развёртывание (AWS, GCP, Azure) либо on-prem при условии соблюдения GDPR/ISO 27001. Конкретный результат 1. Рабочий прототип (web или mobile) с подключением к тестовым данным. 2. Репозиторий с чистым, документированным кодом и unit-теста...

...deep-learning solution that watches a driver’s face through a standard camera feed, tracks eye-closure patterns and yawning frequency, then translates those cues into a clear fatigue score that updates continuously. Over a journey the model should also plot a time-based curve so I can see how alertness rises or falls. Please build and train the full pipeline in Python, preferably with PyTorch or TensorFlow paired with OpenCV for video handling. The system must be completely vision-based; no wearables or contact sensors. I will supply sample clips for initial testing, but the code should accept any 30 fps video stream so I can later attach it to an in-car webcam. The final hand-off should include: • Inference script that ingests a live or recorded feed, detects eyes...