Algoritmo Jobs

am currently working on my Master’s thesis in Electrical Engineering (Power Systems) and I am looking for an experienced freelancer to assist with the technical implementation. The project focuses on developing an AI-based predictive maintenance framework for distribution transformers, combining machine learning models with optimization-based maintenance scheduling. Scope of Work: 1. Machine Learning Models Implement and refine: Random Forest (partially completed) Support Vector Machine (RBF kernel) Decision Tree (for benchmarking if needed) Perform: Hyperparameter tuning (GridSearchCV or RandomizedSearchCV) 5-fold cross-validation Model evaluation (Accuracy, F1-score, AUC) 2. Data Handling and Feature Engineering Work with BRAVO dataset (15,000+ samples, 16 features) Handle: Missing...

I have a quantitative strategy that performs well in back-tests and now I’m ready to let it trade live through Interactive Brokers. The goal is to turn every buy-and-sell rule I already have into a fully automated system that opens, manages, and exits positions 24/7 without my manual input. Here is what I need from you: • Connect to the Interactive Brokers API (TWS or Gateway) and translate my entry, exit, and risk-control rules into robust, well-commented code. • Build in position sizing, stop-loss/target logic, and a simple dashboard or log so we can see exactly what the bot is doing in real time. • Provide a short walk-through and a week of post-deployment support to make sure orders are routing and filling correctly. I’m looking for someone who is...

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I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

Expert Mobile Developer: Infrared Eye-Tracking & Nystagmus Detection (Computer Vision). Project Overview: We are seeking a high-level Mobile Developer/Computer Vision Engineer to build a specialized module for a vertigo diagnostic support application for smartphones. The core task is to capture and analyze Nystagmus using the device's internal infrared sensors. Scientific Context: Nystagmus is an involuntary, rhythmic oscillation of the eyes caused by vestibular (inner ear) dysfunction. While vertigo is the subjective sensation of spinning, nystagmus is the objective clinical evidence. Capturing this in total darkness is essential to prevent "visual fixation" which can suppress the symptoms. Key Responsibilities: 1. Mobile IR Capture: Access internal IR sensors (e.g., i...

Hi reader, I have engineered an organic, physics-driven computer that can manipulate pattern formation at the Planck scale and let those forms express themselves molecularly. My next step is to push this machine to its theoretical limit: create all possibilities of the Planck length—every iteration, with no upper bound. What I need from you is an algorithmic framework that lets the system run endlessly, generating, recording and cataloguing each unique configuration. The emphasis is on iteration quantity rather than any single style of pattern; whether the output turns out fractal, geometric, chaotic or entirely novel is secondary so long as every possible state is eventually reached. Key requirements • Software that launches on my hardware interface, begins producing Planc...

I need a complete high-frequency trading (HFT) strategy for actively-traded equities. The solution must be built around three data pillars that I already have in place: extensive historical tick data for back-testing, a low-latency real-time market feed for live decisions, and curated news feeds for event-driven signals. Your job is to transform these inputs into a production-ready strategy that can ingest the streams, react within microseconds, and handle the entire trade life-cycle—from signal generation through execution and risk checks—without human intervention. Deliverables • Strategy logic and mathematical model, fully documented • Back-test framework wired to my historical data, with reproducible results • Low-latency execution module that plugs...

I already have a working MATLAB model that generates particles, defines the micro-channel geometry, and steps the simulation forward, but the trajectories are drifting away from the intended channel centrelines. Your task is to bring those paths back into proper alignment with the device. What I need • Correct the alignment of particle trajectories by adjusting the entry points and modifying particle flow direction within the code. • Tackle the root cause: the current channel geometry parameters are influencing the solver in a way that deflects particles, so the fix must happen where those geometric terms are fed into the velocity field or boundary conditions. • Return a clean, well-commented .m file (or set of functions) that reproduces the corrected behaviour, plus ...

I need an AI expert to predict race winners in horse racing using private databases. Key requirements: - Develop an AI model for accurate predictions. - Use and integrate private data sources. - Focus on race winner predictions. Ideal skills and experience: - Expertise in AI and machine learning. - Experience with horse racing data and private databases. - Proven track record in prediction models. - Strong analytical and computational skills. Please include relevant past work in your application.

Strategy Name: Footprint Dot-Based Auto Exit Strategy (Profit-Constrained) (DOT indicator referenced already has been built) $30 Flat. ______________________________________________________________________________________________________________________________________ 1. Purpose This strategy is designed to: Automatically exit manually placed positions (Long and Short) Based on pre-existing footprint indicator signals (Red and Blue dots) Ensure that ALL exits are profitable Operate on a Line Break chart Process both historical and real-time data ________________________________________________________________________________________________________________________________________ 2. Dependencies Requires an existing indicator that provides: Red Dots Plotted on positive (up) ...

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More details: # Goal*Build a Website/Mobile App that helps single people to find the best match so they can find their soulmate and life partner using astrological matching algorithm.* ### Who is this for:*Australian/Chinese who pay too much and had no value on dating websites and has no indicator on personality matches and astrological advice on marriages.* ### MVP Key Features:- Matching score based on astrological features- Selection criteria- Free Membership- Do no allow casual dating option ### Nice to Have Features:- Personalized Astrological Advice- Personalized Horoscope Reminders Is this project for business or personal use? For starting a new enterprise What information should successful freelancers include in their application? Experience How soon do you need your project ...

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I need a concise, four-page white paper that explains how today’s automotive brands are using machine learning to elevate customer experience. The sole lens is customer-facing value, not autonomy or maintenance. Within those four pages, please present: • Personalized in-car services – how recommendation engines, voice assistants, or edge-deployed models learn a driver’s habits and tailor infotainment, climate, or navigation in real time. • Enhanced safety features that passengers recognise directly, such as adaptive driver alerts or occupant monitoring, showing how ML turns raw sensor data into intuitive feedback. • Optimized dealership interactions – from predictive lead scoring to AI-powered service scheduling that keeps owners happy long afte...

I need help validating and verifying an ontology that solves every physics equation, bridging quantum and relativistic physics. Requirements: - Mathematical proofing of all components - Quantum equations - Relativistic equations - The bridge between quantum and relativistic physics Ideal skills: - Advanced knowledge in quantum and relativistic physics - Expertise in mathematical proofing and calculus - Background in ontology validation The math is unbreakable; it only fixes everything.

Explicit Filtering Phase project as discussed in chat for phrase detection and resultant redirect.