Decision-Support Software for Coal Recovery

@AhteshamAK

Hello, I hope you're doing well. Your mining engineering project is both practical and impactful, and I’d be glad to help bring this decision-support software to life. I can build a clean, efficient desktop or web-based tool where users can input block tonnage, coal quality, dilution, and operational costs. The system will process these inputs through a rule‑based optimisation model to rank blocks, recommend extraction sequences, and present recovery insights and simple performance graphs. My approach focuses on using lightweight, cost‑effective technologies such as C++ or Java for desktop, or a simple web stack if online access is preferred. I’ll design an intuitive interface, a reliable processing engine, and a clear dashboard to support operational decision‑making in small to medium‑scale mines. I’d be excited to bring clarity and structure to your recovery optimisation workflow. Best regards, Ahtesham

@Herculesz

Hi I can develop a simple and practical decision-support tool for coal recovery optimisation using a clean desktop or web-based architecture with Python as the core processing layer. The main technical challenge is turning mixed geological, production, and cost inputs into a transparent ranking model that is reliable, easy to adjust, and understandable for mine planning decisions. My approach would be to build a structured input module, a rule-based scoring engine for block ranking and extraction sequencing, and a dashboard that clearly presents recovery estimates, priority blocks, and performance graphs. I have experience building Python-based tools with data processing, optimization logic, reporting dashboards, and user-friendly interfaces using frameworks such as Streamlit, Flask, or PySide. The logic can remain lightweight and maintainable, with configurable scoring weights for tonnage, quality, dilution, and operating cost so the model can evolve with your project. I also focus on clean code, clear documentation, and a modular structure so the tool is easy to test, refine, and extend later if you add more planning rules. This will give you a cost-effective application that supports better extraction decisions without unnecessary complexity or heavy infrastructure. Thanks, Hercules

@redsparkinfo

Good Noon, Based on your requirements I understood that you want a simple software tool that helps mine operators decide which coal blocks to extract first based on production, geological, and cost inputs. Talking about our similar expertise, We’ve built lightweight decision-support and operational planning tools for industrial and logistics use cases where rule-based scoring models drive prioritisation. Initially, We would start by defining the exact scoring parameters and calculation flow with you, then design a clean input interface for block-level data. The processing layer would apply weighted rules or optimisation logic to rank blocks, followed by a simple dashboard with sequence output, recovery estimates, and visual charts. Do you already have a scoring formula or should we help structure the weighting logic? Happy to share a quick plan with timeline and cost if we can connect for a short discussion. Thanks Dhruv NOTE- BID AMOUNT IS BALL PARK AMOUNT

@seandinwiddie

https://www.freelancer.com/u/seandinwiddie Hi, I’m confident I can build a clean, cost-effective decision-support tool for coal recovery optimisation tailored to small–medium mining operations. With experience in software architecture and data-driven applications, I’ll deliver a practical, easy-to-use system with clear outputs. I will start by designing a simple UI (desktop or lightweight web app) for inputting geological and production data like tonnage, quality, dilution, and costs. Next, I will implement a rule-based scoring/optimisation engine to rank mining blocks and generate an optimal extraction sequence. Finally, I’ll build a dashboard with key outputs—recommended sequence, recovery estimates, and performance graphs—ensuring clarity and usability. The solution will be modular, well-documented, and easy to extend as your model evolves. Let’s discuss your preferred platform (desktop vs web) and scoring logic so we can finalize the approach and begin development. Looking forward to collaborating,

@ivaylo8

Hello, and thank you for the clear brief on a Decision-Support Software for Coal Recovery. I’m Ivaylo, and I’ll craft a practical, cost-conscious solution that helps small-to-medium mines optimize block sequencing using a simple rule-based scoring model. The tool will let users input block tonnage, coal quality, dilution, and operating costs, then rank blocks and output a recommended extraction sequence, expected recovery, and basic performance graphs. Approach: a lightweight desktop or web app with a clean data-entry UI, a modular processing layer applying a transparent scoring logic (weighted criteria for recovery, dilution, and cost), and a visual dashboard for sequence, recovery, and KPIs. I’ll implement with straightforward tech: Java for a desktop app (JavaFX) or a minimal web stack (Java/Spring Boot or Python with Flask) to keep costs low and maintenance simple. The design will be data-driven and extensible, so you can tweak weights or add new rules as needed without reworking the core model. What you’ll get: a lean, maintainable tool that runs locally or on a small server, quick to deploy, with clear data inputs, a reliable decision logic, and intuitive outputs. Sincerely, Ivaylo

@nemanjac6

Hello, you’re looking to build a decision‑support system for coal recovery optimisation, I’d handle it by structuring a backend workflow that ingests geological and production inputs, processes them through rule‑based scoring logic, and exposes the results to a clean UI and dashboard. A key constraint here is ensuring consistent data validation so the ranking logic remains reliable across varying block datasets. I’ve built similar optimisation and data‑driven tools where inputs flow into a scoring engine and the system outputs ranked recommendations. I’d break this into: - Backend service handling block‑level data ingestion, scoring logic, and sequencing API endpoints. - Data model to validate tonnage, quality, dilution, and cost inputs before processing. - A lightweight UI/dashboard to show extraction sequence, expected recovery and summary graphs. One insight: a modular scoring engine will let you easily adjust rules as mining conditions change. Which specific mining‑block parameters do you want the scoring engine to prioritise when ranking the extraction sequence? Let me know if you want this broken down further. , Nemanja

@ayesha86664

Hi there! You are building a decision-support tool for coal recovery, and the real challenge is turning raw production and geological data into clear, actionable extraction decisions — that is exactly where most tools fall short. I’ve developed data-driven applications that process structured inputs and present optimized outputs through clean dashboards, helping users make faster and more reliable operational decisions. I will design a simple web-based tool with an intuitive interface, implement rule-based logic for ranking blocks, and display results with clear visuals and performance insights. Check our work: https://www.freelancer.com/u/ayesha86664 Do you already have a fixed scoring formula, or should I help define the weighting for factors like quality, cost, and dilution? I am ready to start — just say the word. Best Regards, Ayesha

@asharib17

This is a great use case for a lightweight, practical tool—no need to overcomplicate it with heavy tech. I’d approach this as a clean decision-support app with clear inputs, transparent logic, and visual outputs engineers can trust. Proposed approach: * Web-based app (Python + Streamlit or FastAPI + simple frontend) for fast delivery and easy use * Input panel for block data (tonnage, quality, dilution, cost) * Rule-based scoring model (weighted factors → ranking + sequence recommendation) * Output dashboard: • Ranked blocks + recommended extraction order • Expected recovery metrics • Simple graphs (production vs recovery, cost impact) What you’ll get: * Simple, intuitive UI (no training needed) * Transparent logic (easy to adjust weights/criteria later) * Exportable results (CSV/Excel) * Clean, maintainable code Relevant work: * Built data-driven tools and dashboards using Python with clear decision logic * Experience structuring backend logic + user-friendly interfaces Quick questions: 1. Do you already have a scoring formula, or should I help define it with you? 2. Do you prefer a standalone desktop feel or a browser-based tool? Happy to outline the model structure and UI flow before we proceed.

@mahads31

What specific features or scoring methods are you considering for the decision-support tool? I can create a user-friendly application that allows input for production and geological data, optimizing extraction sequences using rule-based logic. For this project, I propose using a simple web-based technology stack like HTML, CSS, and JavaScript for the front end, with a lightweight backend such as Python or Node.js for processing. The estimated time frame for development is around 4-6 weeks, depending on the complexity of the scoring model. Cost-wise, I can provide a solution that fits within your budget. Let me know if you’d like to discuss the tools and my approach further! Best Regards,

@huonghy89

Hi, I hope you are doing well. Very happy to bid your project because my skills are fitted in your project. I have experience building practical decision-support tools and lightweight data-driven applications that turn operational and production inputs into clear rankings, recommendations, and dashboards for planning purposes. I will develop a simple and cost-effective desktop or web-based application with a clean input interface, rule-based optimisation logic, and an output dashboard showing block rankings, recommended extraction sequence, expected recovery, and performance graphs. I will use reliable technologies such as Python with Streamlit or a similar lightweight framework so the tool is easy to use, maintain, and expand, while keeping development time and cost efficient. If you send the message, we can discuss the project more. Thanks.

@rbtech1984

Hi There!!! ★★★★ Coal Recovery Decision-Support Tool for Small to Medium Mines ★★★★ I understand you need a simple, cost-effective software to optimise coal recovery, allowing users to input production and geological data, apply scoring logic, and display recommended extraction sequences and performance graphs. The focus is on usability, clear outputs, and practical decision support. Services mentioned here based on project details ⚜ Desktop or web-based application development ⚜ Clean and intuitive user interface for data input ⚜ Processing module with rule-based optimisation logic ⚜ Dashboard displaying mining sequence and recovery metrics ⚜ Basic visualisation and performance graphs ⚜ Cost-effective, simple technology implementation ⚜ Post-development support and documentation I have experience building engineering decision-support tools with C++/Java, focusing on usability and clear outputs. I’d use lightweight frameworks for quick deployment, ensuring the tool is practical and reliable for your mining operations. Warm Regards, Farhin B.

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in Data Analysis, C++ Programming, Mining Engineering, Software Development, C Programming, Desktop Application, Software Architecture and Java. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer

@stadnichuk

Hey there, Do you already have the scoring logic for block ranking, or do you want the tool to help combine tonnage, coal quality, dilution, and operating cost into one weighted extraction score? Should the first version recommend the best block sequence only, or also let users test different weighting scenarios so they can compare recovery and profitability outcomes before choosing a plan? I can build this as a simple decision-support tool with a clean input screen, rule-based processing layer, and dashboard for ranked blocks, recommended extraction sequence, expected recovery, and basic charts. For this kind of mining app, the key is not heavy AI, but clear logic, traceable calculations, and an interface that engineers can use quickly without extra training. I’d keep the system lightweight, easy to maintain, and structured so the scoring model can be adjusted later as your project rules evolve. Looking forward to discussing more on chat. Best, Kostiantyn

@Ramanov6

⭐⭐⭐⭐⭐Hi, I’m a full-stack developer with 7+ years of experience building data-driven applications and decision-support tools using Python and scalable architectures. I can develop a clean desktop or lightweight web app where users input mining data and a rule-based engine ranks blocks and generates an optimized extraction sequence with clear dashboards. I’ve built similar systems involving data modeling, scoring logic, and visualization, ensuring accuracy, performance, and maintainable code for future adjustments. I would suggest using Python (with PyQt or a simple web stack like Flask) for fast development, along with structured data processing and charting for recovery insights. Do you already have a defined scoring formula for block ranking, and should the tool support exporting reports or scenario comparisons? I can deliver a cost-effective, reliable solution with clear UI, documented logic, and accurate outputs tailored to your mining workflow. Best

@alfatrade2

I'll develop a web-based decision support system for coal recovery optimization using Python/Flask backend with optimization algorithms and React frontend for data input and visualization. The system will feature block tonnage and quality data input forms, scoring model implementation using weighted optimization criteria (NPV, recovery rate, operational costs), and interactive dashboard with recommended mining sequence, expected recovery metrics, and performance charts using Chart.js. I'll implement a priority scoring algorithm that considers dilution factors, coal quality grades, and operational constraints specific to small-medium scale mining operations. The system will include data validation, export capabilities for mining plans, and responsive design for field use on tablets.

@Alesha1018

With my strong background in software engineering and broad skillset, I would be an asset to your coal recovery project. As a proven problem-solver and proficient in C and C++ programming, I can create for you a cost-effective desktop application that ensures a seamless user experience while addressing all your specific needs. What sets me apart is my ability to zero in on the core issues and suggest practical solutions. My proficiency with software architecture allows me to efficiently organize data management and processing components, ensuring your required functionalities of block ranking, extraction sequencing, performance graphing amongst others are executed smoothly. Not only will I develop the application, but I will also be available for ongoing maintenance and support. This way, should you need any future additions or improvements in your system, I'll readily handle them. In summary, my strong programming knowledge coupled with my commitment to delivering dependable work make me an ideal fit for your project.

@jeremiasg17

Hello! I've developed a similar decision-support tool for mining optimization, which helped reduce operational costs by 15% through efficient block sequencing. I’d love to show you the implementation details in chat. For your project, I’d suggest a web-based application using technologies like React for the frontend and Node.js for the backend. This will allow for a clean UI and efficient data processing. I'm curious: how do you currently gather and manage the geological data? Understanding this can help tailor the solution better. We can start with a small milestone to flesh out the requirements and ensure we’re aligned. If you’re open, I can share insights from my previous build, and we can see if it fits your needs. Looking forward to your thoughts!

@slavkom1

Hi there. Your coal recovery optimisation tool sounds clear, and I can help shape it into a simple desktop or web app. I’ve built similar rule-based tools and small data‑processing systems before, so the workflow fits well. I’d keep the design minimal and focused on inputs and ranked outputs. • Data entry form for tonnage, quality, dilution, costs • A rule-based scoring module to rank blocks • A small engine to generate the extraction sequence • A dashboard with recovery numbers and simple charts I can start right away, and a first working version should take about a week. Do you prefer the scoring logic to be fully rule-based, or should it support configurable weighting per parameter? Thanks, Slavko

@mayr81

Hello, I appreciate the clarity of your mining engineering requirements and would be glad to support your coal recovery optimisation tool. I have strong experience combining data-driven logic with clean user interfaces, which aligns well with your need for a practical and cost‑effective desktop or web-based solution. I can design a streamlined system where users input geological and production values, and a rule-based scoring engine ranks mining blocks with transparent decision logic. The dashboard will clearly present mining sequences, recovery expectations, and simple performance graphs for easy interpretation. My approach will ensure usability, accuracy, and smooth integration of mining-specific considerations. Best regards!