Freelance Python Jobs

Python + AI Expert

Seeking a seasoned Python and AI specialist to design, implement, and optimize intelligent systems. Responsibilities include developing robust Python backends, crafting and fine-tuning machine learning models, integrating AI services, and ensuring scalable, maintainable code. Familiarity with modern tooling, model deployment, and performance tuning is essential. Experience with JavaScript frameworks and TypeScript is advantageous. Deliverables: well-documented code, reproducible training pipelines, and production-ready integrations. Competitive, milestone-based engagement.

Automations - AI, VBA, Python Etc.

Description: We are a growing business with a strong focus on automation and efficiency, and we’re looking for an experienced Automation Specialist to support us on a task-by-task basis. Currently, we utilise VBA for a number of internal processes, but we are now looking to expand and modernise our automation stack across multiple areas of the business. Key Areas of Work: Enhancing and maintaining existing VBA-based automations Building new automations using modern languages (e.g. Python, C#, etc.) Implementing AI-driven solutions where applicable Automating screen-based/manual processes (e.g. clicking through systems using logic – Power Automate or RPA tools) Migrating existing stock feed processes to more robust, scalable solutions We have 15+ automation opportunities ready to be developed and are looking for someone who can help us streamline operations effectively. We’re looking for someone who can: Work independently and deliver high-quality solutions Suggest improvements and scalable approaches (not just replicate existing processes) Communicate clearly and provide updates on progress To apply, please confirm: - What coding languages and tools you are proficient in - Examples of similar automation work you’ve completed (including reviews if available) - Whether you work independently or as part of a team - Your hourly rate We’re looking to build an ongoing relationship, starting with smaller tasks and expanding into larger projects. Looking forward to hearing from you.

Looking for AI Full Stack developers

I’m currently looking for a senior developer: • Fluent English speaker with clear communication (client-facing level) • Strong experience in AI technologies (LLMs, Generative AI, RAG, Python, MLOps) • Full stack capability as a plus (React, Vue, Node.js) • Available to work in US time zones • Comfortable working remotely with US-based clients

Python Developer / Browser Automation / Playwright

We operate a Python-based automation system that interfaces with a platform. The system is stable and actively in use, but requires ongoing maintenance, occasional bug fixes, and new feature development as the platform evolves. We're looking for a reliable freelance developer to join us on a flexible, ongoing basis and take ownership of the automation layer. Tech Stack – Python – Playwright (async, browserless) – FastAPI – MongoDB – Docker What You'll Work On – Writing, updating, and refining browser automation scripts that interact with third-party web applications – Handling session management, cookie persistence, and authentication flows to keep automations running reliably – Building and maintaining API integrations between our system and external services – Diagnosing and resolving issues when target platforms change their UI or behavior – Proposing and implementing improvements to make the system more robust, faster, or easier to maintain – Working within a Dockerized environment and following existing code conventions Ideal Candidate – Strong hands-on experience with Playwright in Python, particularly using the async API – Comfortable working with headless browsers, managing browser contexts, and debugging flaky or timing-sensitive automation – Familiar with FastAPI and RESTful API design – Experience with MongoDB or similar document-based databases – Able to read, understand, and contribute to an existing codebase without extensive onboarding – Self-directed and comfortable working independently with minimal supervision – Communicative, responsive, and dependable — we value people who flag issues early and keep things moving

opportunity

Building database of owners by web scraping

I have been working with DeepSeek to extract data from the web site tuscasasrurales.com. The data I need is shown on the attached file Granada.png. Some of this data requires a link to be clicked as shown in the uploaded file Tuscasasrurales.png. Email addresses have to be obtained by visiting the website (if there is one). Where no data is available, leave blank. I have been trying to extract the data province by Spanish province. To get a list by province, enter the site and add the name of the province in the search box e.g Granada which returns 304 entries. Although DeepSeek was unable to get all the info I wanted it has given me a python script which will do the job. I have uploaded this. It does not include the fields Bedrooms and Bathrooms which I would also like included. Can you do this work and how much would you charge? There are initially 10 provinces with an average of +/- 200 entries in each. Thanks - Allan

Full Stack Developer

We are looking for a skilled Full Stack Developer with strong experience in Python and JavaScript to join our team on a long-term basis. The ideal candidate must have hands-on experience integrating and working with third-party APIs (REST, OAuth, Webhooks, etc.).

Senior AI/ML Engineer

I’m upgrading our risk-and-compliance platform and need an EU-based engineer who can blend robust software craftsmanship with hands-on machine-learning expertise. The mandate is to automate decision-making across key customer-facing features by fusing classical ML techniques with Large Language Models. You’ll design the end-to-end pipeline in Python, harnessing PyTorch, TensorFlow or scikit-learn to train, evaluate and continuously improve models, then ship them as production-ready services that scale and stay maintainable. Solid experience integrating models into distributed systems, setting up meaningful evaluation metrics and communicating findings to non-technical stakeholders will be crucial, as you’ll work side-by-side with product, legal and data teams. Deliverables I’ll review: • Clean, well-documented Python codebase that builds, tests and deploys the chosen models • Containerised service or microservice exposing the decision-automation endpoint • Evaluation report covering model performance, drift-monitoring strategy and rollback plan If you have 4+ years of professional software engineering in production ML settings and can articulate your design choices clearly in English, I’d like to hear how you would tackle this challenge.

Full Stack Development

Full Stack Developer (Python / JavaScript / AI Experience Preferred) We are looking for an experienced Full Stack Developer to join our team for ongoing development projects. The ideal candidate has strong backend and frontend experience, DevOps knowledge, and excellent communication skills. Requirements 3+ years of experience in full stack development Ability to work during EST timezone Strong experience with Python, JavaScript, and TypeScript (Experience with C#, .NET, or Java is also acceptable) Frontend experience with React, Vue, Angular, or similar frameworks Backend experience with Node.js, Django, Flask, or PHP Familiarity with DevOps practices (CI/CD, Docker, cloud platforms, etc.) Some AI/ML development experience is a plus Experience working across multiple industries or product domains Strong communication skills — preference for candidates with native or fluent American English Responsibilities Design and develop scalable full-stack applications Collaborate with cross-functional teams to deliver high-quality software Participate in architecture discussions and system design Write clean, maintainable, and well-tested code Communicate progress and technical details clearly with the team Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP Experience building AI-powered features or integrating AI APIs Experience working in distributed or remote teams

Skillful Full-stack Developers who can assist with our business.

We seek accomplished full‑stack developers to augment our expanding remote software team. Ideal candidates possess strong expertise in React, Node.js, and Python, delivering robust, maintainable web applications and APIs. Excellent English communication (native or near‑native) is required to collaborate across distributed teams, participate in design discussions, and produce clear documentation. Candidates should demonstrate problem‑solving aptitude, attention to detail, and a proven track record of delivering high‑quality code on schedule.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

Looking for a full stack developer

We’re looking for an experienced Full-Stack Developer who is based in Vietnam to help build and maintain our projects. Tech Stack: - Language: JavaScript / TypeScript / Python - Frontend: React / Next.js / Vue / Angular / Ruby - Backend: Node.js / Express.js / NestJS / Laravel / FastAPI / Django - Database: PostgreSQL / MySQL / MongoDB - Cloud: AWS / Azure (optional) Responsibilities: - Build scalable frontend features - Develop APIs and backend logic - Work with designers/product team - Ensure performance and security Requirements: - 3+ years full-stack experience - Strong Git workflow - Clean, documented code - Good communication Nice to have: - E-commerce / SaaS experience - AI or API integrations

Data engineer

We are seeking an experienced Data Engineer to help organize, clean, and structure complex real estate and regulatory compliance data across multiple sources. This role focuses on transforming inconsistent datasets related to leases, occupancy, tenants, and rent information into a reliable and scalable data foundation. The ideal candidate will review existing data, identify quality issues such as duplication and missing fields, and design standardized schemas and relationships. You will build transformation workflows to clean and normalize data from spreadsheets, databases, and system exports. In this role, you will create master datasets for properties, units, households, leases, and compliance tracking while implementing validation rules and exception reporting. You will also document data definitions, mapping logic, and business rules to support transparency and long-term maintainability, while collaborating with stakeholders to translate operational requirements into structured data models. Strong proficiency in SQL and Python is required, along with hands-on experience in ETL/ELT workflows and relational data modeling. Experience working with messy, Excel-heavy datasets and building data quality checks is essential, and familiarity with tools like dbt, Airflow, or cloud platforms such as Snowflake or BigQuery is highly preferred. Success in this role means delivering a clear, consistent source of truth for lease and occupancy data, reducing inconsistencies, and preparing the data environment for reporting, automation, and future product development.

Career Assessment Engine (AI powered)

I am looking for a full stack developer who will help me to create a platform that will guide students to identify the careers that are best suited for them based on a proprietary framework that I have created. I have been using this offline and now want to scale up by creating an online platform How it works: ✅ Multiple question sets that I have designed→ answers captured from user. Answers can be based on scores or open ended text answers ✅ Non Question Inputs like grades, non academic achievements etc that user will upload ✅ Scores are normalized ✅ The framewrok that I have created generates fit scores for different career paths/roles ✅ Output = visual report/dashboard + narrative insights + PDF/shareable link What needs to be built (MVP): ✅ An interface to ask questions ✅ one-by-one questions, smart prompts ✅ back/edit last answer, progress bar, pause/resume ✅ validate only 1–5 responses ✅ Scoring engine ✅ map answers → framework dimensions ✅ section scores + normalized scores + career fit ranking based on framework ✅ configurable weights (transparent logic) from backend Tech (flexible) : Next.js/React + Node/Python + OpenAI + Postgres/Firebase + charts (Recharts/Chart.js) + deploy on Vercel/Render. I will provide : question sets (owned by me)+ framework structure + CFIS mapping + sample report format.

opportunity

Revised Golf Club Video Tracking and Analysis Program

Hi, I please need a relatively simple application constructed for video-based golf club tracking and analysis. Previous attempts have been partially successful, so there is some work there that can be referenced and potentially utilized. A standard 2D camera and video are all that are required for acceptable application performance. Simple marker tracking is planned at this time, comprising two visible markers placed at determined, measured locations on a club to be tracked by users. Original videos input into the needed application will be relatively short, limited to perhaps a few seconds or less. The application will initially need to reformat videos to include frame numbers for user and application referencing. After careful examination of the reformatted video by a user as instructed, the user will select just two frames (so four tracking markers) for the application to further work with. Tracking should be performed just manually and interactively for now. So a means should be provided for a user to view, manually place, and precisely adjust computer tracking indicators over each of the four markers in the two frames selected. With that information, combined with specified club measurements input into the application by the user by this point, an initial club tracking result can be graphically and mathematically displayed. That tracking result will typically reveal a preliminary solution for a user (a rotation point location along the length of the club). But due to the nature of the original club movement, a preliminarily calculated rotation point location will usually be incorrect, commonly by a substantial amount. Thus, an additional process involving some fairly basic geometric and mathematic calculations will need to be further applied (will be provided). And a corrected, final rotation point location as calculated will be the result, graphically and mathematically displayed by the application for a user. I will need to test and work with any efforts on my (Windows) desktop. Desktop and web versions are minimally planned for now. So a programming language(s) that could work effectively for both would be helpful. I think R and Python were mostly tried previously, with various pluses and minuses about each. I am open to any other language(s) as well. Added descriptions needed for both the video tracking and solution aspects to accomplish functional success are much more thoroughly detailed in separate documentation. It includes systematic breakdowns of previous failed attempts for reference, what worked well and not so well with them, and the processes and equations to be applied to calculate final solutions. Various elements of intellectual property are involved. So while I can additionally discuss some matters beforehand, an NDA will be strictly required before I will be able to disclose and/or discuss certain information related to the much more detailed documentation. I can provide the needed NDA after reviewing any proposals I might be fortunate enough to receive. While there is no set budget, past failures have to this day prevented me from better validating certain critical elements concerning the needed application on an extremely foundational level. And until such better proof is obtained first, my additional spending on this particular project will be as minimal as possible to say the very least. If and when better validated, I can reevaluate where to go from there. I am open to both project or hourly rate offers, but I cannot seriously consider an hourly rate offer without a guaranteed maximum number of hours stated up front to successfully complete the needed application. Thank you very much.

I need an experienced AI engineer

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations. What You’ll Do AI Product Engineering (Customer-Facing Features) - Build AI features end-to-end: requirements → design → implementation → rollout → evaluation. - Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation. - Collaborate across Product, Design, QA, and Clinical SMEs. Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation. AI Foundations / Enablement - Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules. - Build evaluation harnesses and continuous regression testing. - Enable developer productivity via AI coding tools and best practices. - Establish “golden paths” for consistent and safe AI feature delivery. Agentic Workflows & AIOps - Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection. - Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation. - Integrate with telemetry systems for intelligent operations. LLMOps / Production-Ready AI - Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior. - Own prompt/model evaluation frameworks and online QA metrics. - Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries. Data & Infrastructure - Build vector stores, embeddings, retrieval workflows, and knowledge bases. - Partner with data engineering for eval datasets and rulesets. - Contribute to scalable infrastructure for AI agents and async workflows. Tech Stack - AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock - Frameworks: RAG, agents, orchestration - Backend: .NET, Node.js, Python - Data: SQL Server, Postgres, Redis, vector databases - Observability: Grafana, Loki, Prometheus, OpenTelemetry - Cloud: Azure, AWS, Docker, Kubernetes - AI Dev Tools: Copilot, Claude Code, Cursor, Kiro What You Bring - 5–10+ years building production software systems. - Hands-on experience delivering LLM-powered features or AI agents. - Strong engineering fundamentals. - Experience with LLMOps, safety, monitoring, evaluation. - Strong cross-functional communication. - Healthcare / HIPAA experience a plus. - Fluent English

opportunity

Extract blood test data from PDF documents that have been OCR'd

The objective is to build a structured blood test database that allows pathology results to be viewed, edited, filtered, and exported to Excel via a web-based HTML interface. The system stores results in a clean, standardised format so trends can be analysed accurately over time. Using AI-assisted OCR, I have built a local Python extraction pipeline that converts PDF pathology reports into machine-readable text and inserts structured data into a SQLite database. The majority of blood tests extract correctly, including canonical test name, result value, unit, and reference range. However, I have reached a specific technical issue with three markers: • CRP (C-reactive protein) • ESR • GLU (Glucose) The OCR output clearly contains the correct lines, and debug logs confirm they are processed. Yet no rows are inserted for these markers. The failure appears to occur between canonical matching, numeric extraction, or validation logic. Current System Architecture The system runs locally and consists of: • extraction_core_2.py (main engine) • Supporting modules for OCR preprocessing, lab dictionary building, regex matching, and validation • SQLite backend • Schema-driven canonical lab dictionary • Controlled fuzzy fallback logic • HTML viewer for results display and Excel export Pipeline flow: Convert PDF to image (pdf2image) Preprocess Run Tesseract OCR Clean and normalise text Match against canonical lab dictionary Extract: canonical test name numeric result unit reference range Validate Insert into SQLite The engine is deterministic and rule-based. The Specific Problem Example OCR line: CRP H 5.2 mg/L 0-5 OCR text is correct. NUMBER_PATTERN matches. The canonical dictionary contains the test. Yet: Inserted 0 rows from 0126251OrderReport_23B00006604_CRP.pdf Likely failure points include: • Canonical containment match failing due to normalisation • Flag tokens (“H”, “L”) interfering with numeric capture • Numeric extraction anchored incorrectly • Validation rejecting due to strict range formatting • Unit pattern mismatch (e.g. mmol/L) • Dictionary indexing issue • Match overridden by another lab name • Guard conditions too strict If validation fails, the row is rejected silently. All other panels extract correctly. The issue appears isolated. What Is Required This is not a rebuild. We do not want: • Re-architecture • Experimental AI guessing logic • Large-scale changes • Expanded fuzzy matching We need: 1. Precise Diagnosis Identify exactly where CRP, ESR, and GLU are failing insertion and which rule is causing rejection. 2. Minimal Safe Fix Implement a targeted correction that: • Adjusts canonical matching if required • Anchors numeric extraction correctly • Allows flag tokens without blocking capture • Relaxes only necessary validation checks • Preserves deterministic behaviour 3. Zero Regression • No impact to currently working panels • No performance degradation • No uncontrolled fuzzy expansion 4. Modular Implementation If appropriate: • Implement as small isolated module or • Cleanly adjust matching block The existing architecture should remain intact. Constraints The system is designed to be: • Deterministic • Schema-driven • Reproducible • Forensic-grade We cannot introduce probabilistic or unpredictable behaviour. Longer-Term Goal After stabilising extraction: • Migrate to web deployment • Enable structured uploads • Add trend analysis • Later incorporate AI-assisted interpretation Immediate priority: Stabilise deterministic extraction for CRP, ESR, and GLU without breaking the existing engine. Materials Provided Uploaded: • Full extraction_core_2.py (text format) • Screenshot of HTML viewer • Sample PDF files • Export showing required output Additional materials available on request: • Sample OCR blocks • Canonical dictionary entries • Regex patterns • Validation logic • Database schema • Debug logs This is a focused debugging and refinement request. I have spent many hours attempting to isolate the issue and now require an experienced developer to identify the blocking condition and implement a practical fix. I have been advised this should take 1–2 hours for a senior developer. Looking for a swift turnaround.

opportunity

Fire door & Fire stopping asset management database

I run a UK fire safety & building services business (Phoenix Bespoke Solutions). I’m looking for an experienced developer to build a web-based fire door asset management system with a mobile-first inspection workflow, QR code door tagging, photo evidence, and audit-ready reporting. The product must be suitable for UK compliance workflows (FRA support, audit trail, evidence retention). This will be used internally and potentially offered to clients as a managed platform. Key Outcomes A secure web app to manage a portfolio of buildings and fire doors Mobile-friendly inspector workflow (phone/tablet) Door-level inspections with pass/fail + defect severity + photos Defect/action tracking through to completion Dashboard + exportable reports (PDF/Excel) Full audit trail (who/when/what changed) Core Features (MVP) 1) Accounts & Roles User login Roles: Admin / Inspector / Client read-only Basic permissions (client can only see their own sites) 2) Portfolio & Door Asset Register Hierarchy: Portfolio → Site → Building → Block/Core → Floor → Area → Door Door fields (minimum): Unique Door ID Location fields above Fire rating (FD30/FD60/etc.) Door type (single/double/glazed/riser/etc.) Certification status Install date (optional) Manufacturer (optional) Ironmongery fields (closer/hinges/locks/seals/signage) Notes 3) QR Code Door Tagging Generate QR codes per door QR scan opens the door record instantly on mobile Option to download/print QR label sheet (PDF) 4) Inspections (Mobile-first) Create inspection against a door Inspection details: date/time, inspector, inspection type Pass/Fail overall Checklist sections: Leaf condition Frame condition Gaps/alignment Self-closing operation Seals/smoke control Ironmongery condition Signage compliance Defects can be raised during inspection with: Severity: Critical / Major / Advisory Notes Photo evidence upload (multiple photos) Recommended action 5) Defects / Actions Workflow Defect register filtered by site/building/severity/status Status: Open / In Progress / Complete / Deferred Target rectification date Works notes + completion photos Cost capture (optional in MVP): CAPEX vs Reactive vs PPM 6) Reporting & Exports Door inspection history report Failed doors list Outstanding actions report Critical defects register Export to PDF and Excel/CSV 7) Dashboard Compliance overview by site/building Pie/summary counts (pass/fail, defects by severity, overdue actions) Non-Functional Requirements Clean, modern UI (simple and fast) Mobile responsive (inspector use on site is critical) Secure file storage for photos (with door/inspection linkage) Audit log for changes to doors/defects/inspections GDPR-aware (UK/Europe hosting preferred) Suggested Tech (Open to your recommendation) Backend: Node.js/Express or Python (FastAPI/Django) Database: PostgreSQL Frontend: React/Next.js or similar Storage: S3 compatible (AWS or similar) Deployment: UK/EU region (can be AWS/DigitalOcean/etc.) Deliverables Working deployed MVP on my hosting or yours (with handover) Source code + documentation Admin guide + short video walkthrough (optional) Basic automated backups instruction Bug fix period after delivery (e.g., 14–30 days) What to Include in Your Proposal Examples of similar systems (asset mgmt / inspections / workflows) Your recommended stack + why Your estimated timeline split into milestones Any questions/assumptions you have Fixed price per milestone (preferred) Milestones (Preferred) Database + user roles + portfolio/doors CRUD QR generation + door page + mobile layout Inspections + defect creation + photo upload Defect workflow + dashboard Reporting exports + audit log + deployment + handover