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I need you to build this project as a full functional web-based diploma prototype, with the machine learning part designed to be more accurate, more reliable, and more realistic in practice. The project is: **Development of a web system with MySQL and integrated machine learning for the preliminary classification, prioritization, and statistical analysis of suspicious death cases in Albania, with mandatory expert verification and correction.** Use this stack only: * Backend: Python Flask * Database: MySQL * Frontend: HTML, CSS, Bootstrap 5 * Charts: [login to view URL] * ORM: SQLAlchemy * Auth: Flask-Login * Validation: Flask-WTF or equivalent * Password hashing: Werkzeug security * Machine Learning: scikit-learn * Model saving: joblib * Data processing: pandas, numpy Very important requirements: 1. **Everything must be built from scratch.** 2. **Do not use any premade dataset.** 3. **Do not use any downloaded/public dataset.** 4. **Do not use any pretrained or premade model.** 5. **Do not use any external AI/API for classification.** I need an **original improvised synthetic dataset** created by you from scratch specifically for this project. It must be realistic enough for prototype training/testing, but it will only be temporary, because later I will replace it with real data. So the whole system must be designed so that the synthetic dataset can be swapped out easily and the model can be retrained from scratch on real data later. The synthetic dataset must: * be generated by custom Python code * use logical forensic-like patterns, not random rows * include realistic class distributions * include some missing values * include some borderline/noisy cases * include some contradictory cases * have labels generated logically from feature combinations, not randomly Required outputs for the dataset part: * `dataset/[login to view URL]` * `dataset/[login to view URL]` * `app/ml/[login to view URL]` The ML system must be a **decision support system**, not a blind automatic classifier. The intended flow is: * user enters a case * system stores it in MySQL * ML model gives a preliminary prediction * system shows confidence/probabilities * expert reviews it * expert can confirm or change the final classification * system stores both model output and final expert decision * system stores audit history Classification categories: * Suspected homicide * Suspected suicide * Suspected accident * Suspicious natural death * Undetermined cause User roles: * Admin * Operator/Expert Admin should: * manage users * manage all cases * see dashboards/statistics * see audit logs * see model versions / ML metrics Operator/Expert should: * create/edit cases * view model prediction * view confidence and probabilities * assign final classification * add expert comment * update case status and priority Core features required: * login/logout/session management * role-based access control * full CRUD for cases * search/filter cases * dashboard with statistics and charts * ML prediction module * case details page * expert verification/correction workflow * audit log The case form must use mostly **structured fields**, not too much free text, because the model should rely mainly on structured data. Include fields such as: * case code * case date * age * gender * region * scene/location * injury type * violence indicators * toxicology * medical history * circumstances of finding * case status * priority Also add more structured ML-useful fields such as: * age group * urban/rural * found indoors/outdoors * external trauma yes/no * head trauma yes/no * neck trauma yes/no * thorax trauma yes/no * limb trauma yes/no * burns yes/no * sharp-force injury yes/no * firearm injury yes/no * strangulation signs yes/no * struggle signs yes/no * defensive wounds yes/no * estimated number of injuries * decomposition yes/no * alcohol positive yes/no * drugs positive yes/no * suspected poisoning yes/no * cardiac disease yes/no * chronic disease yes/no * psychiatric history yes/no * substance abuse history yes/no * previous suicide attempts yes/no * vehicle involved yes/no * weapon found yes/no * suicide note yes/no * witnesses yes/no * reported conflict yes/no * workplace incident yes/no * road incident yes/no * body found in water yes/no * estimated time since finding * preliminary autopsy assessment * data completeness level Use free-text only where really needed, such as short circumstances description and expert comment. Before prediction, validate the input and score data quality. I need: * input validation * impossible value checks * missing critical field count * inconsistency flags * contradiction flags * input quality score * data completeness percentage If the case data is weak, incomplete, or contradictory, the system must not behave as if the prediction is highly reliable. For machine learning, I need a full pipeline: * data loading * schema validation * cleaning * missing value handling * feature engineering * encoding * train/validation/test split * cross-validation * model training * hyperparameter tuning * probability calibration * threshold tuning * evaluation * model saving * model versioning * prediction integration into Flask Use proper scikit-learn pipeline components such as: * Pipeline * ColumnTransformer * SimpleImputer * OneHotEncoder * Stratified splits * StratifiedKFold * GridSearchCV or RandomizedSearchCV I want feature engineering implemented clearly and reproducibly, for example: * age_group * violent_pattern_score * medical_risk_score * toxicology_risk_score * scene_risk_score * data_completeness_ratio * contradiction_count * injury_severity_bucket * number_of_positive_flags Test at least these models: * Logistic Regression * Decision Tree * Random Forest * Extra Trees * Gradient Boosting or HistGradientBoosting The final model must **not** be selected based only on accuracy. Evaluate and compare using: * accuracy * balanced accuracy * precision * recall * F1-score * macro F1 * weighted F1 * confusion matrix * cross-validation stability * calibration quality * feature importance / coefficient summary Also do **probability calibration**, because I need the confidence score to be more trustworthy. Do not just display raw model probability as if it is fully reliable. Use calibrated probabilities and compare raw vs calibrated confidence if needed. Also implement **threshold tuning / abstention logic**: * if confidence is too low, flag the case as uncertain * if top two classes are too close, flag the case as ambiguous * if data completeness is too low, mark prediction reliability as low * if contradictions are too high, push it toward expert review or undetermined classification So the prediction result should store and show: * predicted_class * raw_confidence * calibrated_confidence * probabilities for all classes * top_2_classes * uncertainty_flag * input_quality_score * contradiction_count * model_version_id * prediction_date Very important: prevent **data leakage**. Do not train the model using fields that are only known after final expert review. Do not use fields like: * final_class * expert_comment * final decision timestamps * prior prediction outputs * audit log fields Database tables should include at least: * users * cases * predictions * final_classifications * audit_logs * model_versions The system should store: * model prediction * final expert classification * whether expert agreed with model * reason for correction * full audit history For expert correction, include structured correction reasons such as: * missing information * contextual evidence * contradiction in data * model low confidence * expert forensic judgment * other Dashboard/statistics should include: * total cases * cases by region * cases by gender * cases by category * cases over time * high-priority cases * low-confidence cases * unresolved/uncertain cases * model vs expert agreement rate * expert correction counts * active model version * average confidence by class Also include an **ML monitoring page** showing: * active model version * dataset version * key metrics * confusion matrix * calibration status * number of low-confidence predictions * number of expert corrections Project structure should be clean and modular, for example: * app/ * models/ * routes/ * forms/ * services/ * ml/ * templates/ * static/ * migrations/ * dataset/ * trained_models/ * reports/ * scripts/ * tests/ * [login to view URL] * [login to view URL] * [login to view URL] I also need: * SQL schema * SQLAlchemy models * Flask routes * Bootstrap templates * training pipeline * evaluation scripts * prediction integration * synthetic dataset generator * seed logic if needed * testing * local run instructions Create the whole thing in a clean implementation order: 1. project structure 2. database schema 3. models 4. routes 5. services 6. templates 7. synthetic dataset generation 8. preprocessing 9. model training 10. tuning 11. calibration 12. threshold tuning 13. evaluation 14. model saving/loading 15. Flask integration 16. dashboard/statistics 17. testing 18. final run instructions Finally, I need a file named **`[login to view URL]`** at the end. `[login to view URL]` must contain very clear, practical, step-by-step instructions explaining: * how the whole project is structured * how the synthetic dataset was generated * how labels were created logically * how preprocessing works * how feature engineering works * how training works * how tuning/calibration work * how prediction is integrated into Flask * how to run the app locally * how to regenerate the dataset * how to retrain the model from scratch * how to replace the synthetic dataset with real data * how to update the database if needed * how to test the app * what each important file/folder does The instructions in `[login to view URL]` must be detailed enough that I can follow them without guessing. Do not leave vague instructions. I need exact, practical guidance for each step.
Project ID: 40377318
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43 freelancers are bidding on average $149 USD for this job

I fully understand the project requirements and am ready to build a web-based forensic analysis prototype with advanced machine learning capabilities. I will create a synthetic dataset from scratch, develop a decision support system, implement role-based access control, and ensure data quality validation. My expertise in Python, data processing, MySQL, HTML, and CSS align perfectly with the project needs. Let's discuss the details further to ensure a successful collaboration. Thank you.
$123 USD in 6 days
8.6
8.6

I can help with this, I will deliver the full Flask prototype — synthetic dataset generator with logical forensic labeling, scikit-learn pipeline with calibration and threshold-based abstention, MySQL schema, role-based UI, and expert correction workflow. For the ML pipeline, I will implement CalibratedClassifierCV on each candidate model and compare calibration curves — this ensures confidence scores reflect true class probabilities rather than misleading raw outputs. Questions: 1) Do you have a preferred MySQL setup — local install or Docker? 2) How many synthetic cases should the initial dataset contain? Ready to start whenever you are. Kamran
$90 USD in 5 days
8.3
8.3

Hi. You need a robust, web-based interface for forensic analysis that bridges complex AI inference with actionable, user-friendly insights. Building a prototype that handles heavy-duty forensic data requires a low-latency architecture that won't choke under processing loads. I have extensive experience deploying specialized models into production environments, such as converting YOLOR/HuggingFace models to ONNX for cross-platform integration and building CNN-based detection tools for traffic and deepfake analysis. For this project, I would recommend a FastAPI backend coupled with a React/Tailwind frontend, utilizing ONNX Runtime for optimized inference to ensure the forensic analysis remains snappy. I’ve handled similar pipelines for MRI reconstruction and license plate detection, so I am ready to hit the ground running. Are you planning to run the inference locally in the browser via WebGL/WebAssembly or perform all heavy processing server-side?
$225 USD in 7 days
6.1
6.1

Hi there, I'm excited about the opportunity to help you build a web-based forensic analysis prototype. Your project aims to create an original system for analyzing suspicious death cases in Albania, and I understand that you need a solid machine learning component alongside a robust web application. With 4+ years of experience in Python, Flask, and MySQL, I can develop this from scratch while adhering strictly to your specifications. I'll start by structuring the project to ensure easy swapping of the synthetic dataset later on. Creating that dataset with logical forensic patterns will be a priority, ensuring that it meets your needs for realistic training data. The decision support system will be designed to facilitate expert review, ensuring reliable outcomes without blind classifications. One question I have is: what specific forensic patterns would you like to see reflected in the synthetic dataset? Best regards, Arslan Shahid
$30 USD in 3 days
4.9
4.9

Hi Șkoder-Albania, I can do that AI-project for you. I'm fammiliar with Python(Flask/FastAPI)/PhP,MySQL(XAMPP),SQLAlchemy,HTML,BootstrapJS,...pipeline,doc-helprer HTML/chatting-support...under Ubuntu/Windows. Please contact me for more details Thanks
$750 USD in 30 days
4.9
4.9

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, thank you for sharing your detailed project brief. I can build your web system for preliminary classification of suspicious death cases in Albania with integrated machine learning using Python Flask and MySQL, designed to be accurate, reliable, and realistic. I will deliver: • Custom synthetic dataset generation • Decision support ML system • User roles & access control • Model training pipeline • Dashboard and statistics You will also receive documentation and training. I am confident in executing your vision efficiently and professionally. Looking forward to discussing further steps. Best regards, Chirag.
$200 USD in 7 days
4.7
4.7

With my sharp understanding of forensic issues and background in machine learning, I am confident that I am ideally equipped for this AI-assisted web-based forensic analysis prototyping project. I have an unwavering emphasis on quality as evident from the 1000's of hours I've dedicated to working on projects similar to this. Using Flask, SQLAlchemy, and other relevant tools in your preferred stack, I intend to develop an efficient and reliable solution for classifying and analyzing suspicious death cases. The project requires **originality** and the capacity to create a synthetic dataset that mimics real-life instances which is a unique strength of mine. My **meticulousness** allows me to generate datasets with logical forensic-like patterns, realistic class distributions, missing values, contradictory cases all while adhering to your prerequisite of not using any downloaded/public dataset. Moreover, my **full-stack proficiency** is perfectly suited to attending to the various functionalities needed including login/session management, role-based access control, comprehensive CRUD operations for cases, search/filter capabilities for cases and dashboards (rooted in MySQL) with statistics; functionalities that will greatly optimize the forensic analysis experience of the system's users.
$75 USD in 9 days
4.6
4.6

Hi there! You are building a Flask ML forensic decision system with strict synthetic data rules and the challenge is keeping ML leakage free while producing reliable calibrated predictions for expert review. In a recent Flask ML dashboard project for healthcare triage, I built end to end pipelines with scikit-learn, SQLAlchemy, role based auth, and calibration, improving stability and audit tracking. I will design a modular Flask architecture with separate ML pipeline, dataset generator, and expert workflow, ensuring reproducible synthetic logic and proper model versioning. I will also implement calibration, threshold abstention, and audit logging so predictions remain reliable under uncertainty. Check our work: https://www.freelancer.com/u/ayesha86664 One key question: should expert corrections trigger immediate retraining or scheduled batch retraining for model stability? I am ready to start, just say the word. Best Regards, Ayesha
$122 USD in 13 days
4.3
4.3

the diploma prototype part tells me you need this clean and presentable, not just barely working. id build it with flask on the backend, python for the analysis pipeline, mysql for storing case records and bootstrap for a proper UI that looks good in a presentation. the part im not sure about is what type of forensic data the AI needs to process. files, images, network logs? that changes the whole analysis side. drop me those details and i can scope this out properly.
$125 USD in 14 days
4.4
4.4

Dear Client, I’m a senior Python/Flask developer with 10+ years of experience building full-stack systems and custom ML pipelines from scratch, including structured decision-support platforms with audit workflows. I understand you need a fully original diploma-level system with synthetic dataset generation, advanced ML pipeline (feature engineering, tuning, calibration, thresholding), and secure Flask integration with expert validation. I’ve built similar end-to-end systems involving probabilistic data simulation, multi-model comparison (RF, GB, Logistic), calibrated predictions, and role-based forensic-style workflows with dashboards and audit logs. My expertise in Flask, SQLAlchemy, Pandas, and scikit-learn ensures a reliable, modular, and extensible solution. Looking forward to hearing from you. Best regards, Md Ruhul Ajom
$80 USD in 3 days
4.8
4.8

Hi there, A strong fit for this work, with experience building full-stack AI systems using Flask, structured ML pipelines, and decision-support architectures with auditability. Clear understanding of your requirement to develop a forensic analysis prototype with synthetic dataset generation, ML classification, expert verification workflow, and strict compliance with no external data or pretrained models. Hands-on expertise with Flask, SQLAlchemy, scikit-learn, and data pipelines ensures reliable model training, calibrated predictions, and seamless system integration. Risk stays minimized through modular architecture, data validation, no-leakage design, and full audit tracking across predictions and expert decisions. Available to start immediately happy to align on architecture and begin development. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag
$140 USD in 7 days
4.5
4.5

Hi there, I’m ready to work on your project “Forensic Decision Support System for Albania.” I’m a professional developer and systems architect specializing in high-performance digital infrastructure and "Zero-Trust" secure backends. I focus on building mission-critical platforms that bridge the gap between complex machine learning and professional human verification. My Technical Strategy for Your Diploma: Hardened ML Pipeline: I will build the full scikit-learn pipeline from scratch, including feature engineering, stratified cross-validation, and Probability Calibration. This ensures the confidence scores are statistically reliable, not just raw model output. Synthetic Logic Engine: I'll develop the custom Python script to generate a realistic forensic dataset based on logical patterns (e.g., matching injury types to circumstances) rather than random noise, ensuring a battle-tested prototype. You can view my portfolio and client reviews here: ✨ https://www.freelancer.com/u/fahadghouri7 Looking forward to collaborating with you! Thank you, Fahad
$140 USD in 7 days
4.2
4.2

Hello, I checked your project "AI-Assisted Web-based Forensic Analysis Prototyping" and I already have a clear idea how to deliver this efficiently. I have solid experience in Python, Data Processing, CSS, MySQL, HTML, Bootstrap, Web Development, Flask, Data Analysis, and I’ve worked on similar projects where I delivered high-quality, scalable, and clean solutions. Why choose me? • Strong expertise in Python, Data Processing, CSS, MySQL, HTML, Bootstrap, Web Development, Flask, Data Analysis • Clean, optimized, and scalable code • Fast communication and daily updates • 100% focus on delivering results, not just code If needed, I can also suggest improvements to make your project even better. Let’s connect I’m ready to start right away. Best regards, Umer
$40 USD in 1 day
3.2
3.2

As a Full Stack Web Developer who has experience in Data Processing, I am more than capable to handle your AI-Assisted, Web-based Forensic Analysis Prototyping project. I understand the importance of starting from scratch. Thus, I'm more than willing to develop the synthetic dataset using my Python skills and incorporate logical forensic-like patterns rather than random rows. I'll include missing, contradictory, and noisy cases to ensure the system is robust enough in handling real data. Furthermore, my expertise with MySQL and diverse technologies such as Flask, SQLAlchemy, and scikit-learn make me especially well-suited for the task. I can build you a web system that handles authentication with Flask-Login, data validation with Flask-WTF, and password hashing with Werkzeug security to enhance user security while ensuring accessibility through HTML, CSS, Bootstrap 5, Chart.js. Bearing in mind that as a decision support system, expert input is crucial; I'll design a platform that lets experts confirm or challenge machine-generated classifications; storing both the model output and final expert decision for an audit trail.
$30 USD in 3 days
2.6
2.6

Hi, As an experienced technology professional, I hold the right tools to construct your AI-assisted web-based forensic analysis prototype. With 15+ years specializing in Web Development, coupled with a deep understanding of MySQL and a reliable proficiency in Python Flask, I will build this project from scratch, just as you've requested; **no premade datasets, pretrained models or external AI**. Data integrity being one of our core principles, I guarantee the creation of an improvised synthetic dataset that meets all your specifications of logical patterns, realistic class distributions, missing values and labels generated logically from feature combinations. My expertise goes beyond constructing basic websites to building systems like yours which is rooted in an AI-First approach. Not only will I deliver a product following your project scope but also provide an original prototype that's adaptable for real datasets. Additionally, my profound understanding of the stack outlined - wearing skills such as data processing with pandas and numpy and machine learning with scikit-learn - places me at vantage point in assimilating what’s necessary for building intelligent systems and decision support tool. Let’s connect over chat so we can get started right away. Thank you, Usama F.
$100 USD in 7 days
2.2
2.2

I am a perfect fit for your project to build a full functional, seamless web system using Python Flask, MySQL, and integrated original machine learning, fully from scratch with a custom synthetic dataset. Your emphasis on a clean, professional, user-friendly, and automated pipeline aligned with strict constraints matches exactly my expertise. I offer strong skills in Flask backend, SQLAlchemy ORM, Bootstrap frontend, and all ML requirements including scikit-learn pipelines, data validation, probability calibration, threshold tuning, and audit-logged expert workflows. While I am new to freelancer, I have tons of experience and have done other projects off site. I would love to chat more about your project! Regards, Ty Ax
$200 USD in 14 days
0.8
0.8

Hi, I’ve reviewed your project and I can build this complete web-based system with Python Flask, MySQL, and integrated machine learning exactly as described. I understand the full workflow including case management, expert verification, audit logging, dashboard analytics, and a properly designed ML decision-support system with calibrated confidence, uncertainty handling, and retrainable synthetic dataset pipeline. Everything will be built from scratch with a clean, modular structure so you can easily replace the synthetic dataset with real forensic data later without breaking the system. Before starting, I just want to confirm: ? Do you want this delivered as a single fully integrated system, or phased delivery (backend → ML → frontend → dashboard)? Looking forward to your response. Best, Ammar
$30 USD in 2 days
1.4
1.4

Hey — saw your post about an AI-assisted web-based forensic analysis prototype. Getting the AI logic to actually produce usable, explainable results (and not just “black box” outputs) is usually where these projects get stuck. Quick question before I suggest an approach: Do you already have a specific forensic task in mind (e.g. image, text, or log analysis), or are you still deciding what the AI should focus on for the diploma? I’ve worked on AI-backed web tools where the key was combining a clear UI with a well-scoped model so it’s impressive but still realistic for a student project. If you can send the project brief, any requirements from your diploma program, or a rough spec, I’ll review it and tell you what’s achievable within your timeline.
$140 USD in 7 days
0.0
0.0

As a team of talented and dedicated developers, my team and I are more than qualified to tackle your complex project. We have an extensive background in AI-powered solutions and web development, specifically working with Python Flask, MySQL, HTML, CSS, Bootstrap 5 and more — the exact tech stack you've requested for. Our proficiency with algos and web development will allow us to create an original synthetic dataset using custom Python code that will mimic logical forensic patterns, ensuring that the model is trained on realistic data which isn't influenced by any external sources. We understand the gravity of building such a platform where accurate insights play a crucial role in determining the cause of death. Our proficiency with scikit-learn for machine learning paired with SQLAlchemy for database handling will prove vital in creating the robust classification system you desire. Additionally, our experience with Flask-Login for authentication and Flask-WTF or equivalent for data validation will ensure that the system prioritizes data integrity – allowing only confirmed experts to handle cases.
$240 USD in 14 days
0.0
0.0

‼️ONLY PAY WHEN YOU'RE 100% HAPPY‼️ You need a robust Flask web system integrating a fully original synthetic dataset and a calibrated ML pipeline to realistically support forensic expert workflows on suspicious death cases in Albania. This requires precision in data quality checks, audit trails, and expert override features to maintain reliability and transparency. My approach starts by crafting a forensic-inspired synthetic dataset generator in Python, ensuring logical label assignments and data contradictions. Then, I’ll build a modular Flask app with SQLAlchemy models and a calibrated scikit-learn pipeline, integrating probabilistic predictions into a user-friendly expert interface following your detailed specs. While I’m new to Freelancer, I’ve delivered similar end-to-end ML-assisted decision support solutions off-platform. Let’s chat! Worst case, you get a free consultation and real insight. Regards Pietie Lubbe.
$200 USD in 14 days
0.0
0.0

Shkodër, Albania
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