Algorithm Jobs

I’m setting up a weekday programme for absolute beginners who want to break into Artificial Intelligence,Machine Learning, MERN Full Stack, DevOps . You will run live, interactive classes for two hours each day, Monday through Friday, with the primary goal of giving students a rock-solid grounding in AI/ML basics—especially supervised learning. Format & schedule • 2 hr live session, five days a week (Mon–Fri) • Start date and exact time slot to be agreed together • Remote delivery via Zoom, Google Meet or a comparable platform Core content Students must leave the course confident in the fundamentals: data preparation, model selection, training & evaluation, and how supervised learning differs from other paradigms. Feel free to weave in...

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I want a small mobile game(terramine)“miner Maze” that literally plays itself. When the user taps “Start”, the game should generate a fresh maze, drop an avatar at the entrance, and automaticly guide it to the exit without any manual input, load the next maze and keep going—level after level, on an endless loop. Key points I need you to address • Platform: Android • Visuals: clean 2D—not pixel-art retro, just simple, readable sprites so the path-finding logic is the star • Controls: none for the player beyond the initial “Start” button; everything else is fully automated Core logic Every maze must differ from the previous one, so procedural generation is essential. The autoplayer has to analyse whatever layout is prod...

Looking to develop, integrate, and maintain an AI-operated proprietary fund under an LLC structure. The project specification: FSM logic sequencing of entry/exit state change signals for automation of TQR program trading and portfolio management algorithm. Ideal candidates must have expertise in program trading, portfolio management automation, FSM logic sequencing for entry/exit strategies, and state change signaling for automation. Dedication to this project is essential, and candidates should ensure it does not compete with other job commitments. The timeline for completion is 20 days.

I need an end-to-end algorithm that trades a single share-market instrument entirely on technical chart analysis. The core logic must follow a technical trading approach, relying on candlestick patterns, moving averages, RSI, and manually-defined trend lines to decide entries, exits, and position sizing. Scope The build starts from raw market data ingestion, moves through signal generation, and finishes with live order execution and performance reporting. All elements—data cleaning, feature engineering, back-testing, walk-forward validation, risk controls, and real-time monitoring—should sit inside one coherent codebase so I can flip from historical tests to live trading with minimal re-configuration. Implementation Notes • Python is my preferred language; common...

I have a fully-working Android Studio project (Java) that photographs urine test strips and reads the colours, but its interpretation layer is letting us down: colours are detected correctly, yet the final numbers it returns are wrong. I need someone to dig into the existing code, locate the flaw in the result-interpretation logic, and at the same time refine the overall algorithm so the readings become clinically reliable. Because I’m interested in both fixing the bug and improving the core method, you will be free to refactor, recalibrate, or even redesign parts of the analysis pipeline provided the camera capture and colour-extraction steps remain intact. OpenCV and native Android APIs are already integrated, so you will be working inside that framework. Key deliverables: &bul...

My aim is to develop a Machine Learning algorithm that can predict the top 4 finishers in horse, harness, and greyhound racing. Unfortunately, I do not have any historical data available for training the algorithm, so I will need a freelancer who has the expertise to build this from scratch. Ideal Skills and Experience: - Extensive knowledge and experience in Machine Learning. - Familiarity with racing dynamics, particularly horse, harness, and greyhound racing. - Ability to create synthetic data for algorithm training. - Prior experience in developing predictive algorithms. - Strong statistical analysis skills.

The work I'm looking for a Machine Learning expert to help conceive and write a technical paper for publication in IEEE. This is a from-scratch effort. I do not currently have a dataset, preliminary results, or a fixed research idea. you would start at the beginning — identifying a novel problem and a genuine algorithmic contribution (a new algorithm, not an incremental tweak or a straight application of an existing method). I'm interested in Observability as a domain, if possible or even distributed systems. but that is entirely optional and not a requirement. What you'd help with - Identify a novel, well-scoped problem and a defensible algorithmic contribution. - Shape the method, experimental design, and evaluation strategy. - write the paper through, Suggest top ...

I have a clean, ready-to-use Iris dataset and need a complete Support Vector Machine classification pipeline built around it. The job is straightforward: tune an SVM (scikit-learn or similar) to separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it quickl...

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