Python/Gradio developer to redesign & build an AI drug-discovery web app

@tnt42010

Hi, This project aligns well with my experience building Python-based scientific and trading applications with complex, data-dense interfaces. I can help transform your existing Gradio application into a polished, commercial-grade platform by creating a reusable shell, implementing shared components, refining UX flows, and integrating all modules with your existing backend logic. I'm comfortable working with custom Gradio theming, CSS, component reuse, validation states, loading/error handling, and deployment workflows. I'd be happy to review the mockups, scaffold, and current application to provide a detailed implementation plan. — Taher

@Hrolgar

Most Gradio+Django integrations end up as a notebook wrapper bolted to Django's URL router, two event loops competing and molecular inference calls blocking the UI. The architectural decision that prevents that is keeping Gradio as a pure presentation layer mounted at a single Django URL, with all AI/chem logic in Django services that Gradio callbacks reach over internal APIs. For Molcura specifically, the viz layer matters as much as the model integration. RDKit handles 2D structure rendering well, but if you're showing binding affinity curves, docking scores, or property distributions across compound libraries, that's where matplotlib inside Gradio breaks down and you want Plotly or Bokeh served through Django with proper data endpoints. Approach: Django REST backbone for molecule ingestion, job queuing (Celery or a simple task table), and model inference endpoints. Gradio mounts at /app, consumes those endpoints, handles file uploads and result rendering. Molecular viz as dedicated components, not ad-hoc inline plots. Dockerized with clear config separation for dev and prod. M1: Django scaffold + data models (compounds, jobs, results, auth). 76,000 INR, 4d. M2: Molecule ingestion pipeline (SMILES/SDF upload, RDKit structure rendering, compound library management). 76,000 INR, 4d. M3: Gradio UI layer (full app interface mounted on Django, job submission flow, result display components). 76,000 INR, 4d. M4: AI inference integration (model endpoint wiring, async job handling, result storage and retrieval). 76,000 INR, 5d. M5: Data viz dashboards + Docker packaging (property distribution plots, docking and affinity result displays, deploy config). 76,000 INR, 4d. Total: 380,000 INR, 21 days. What models or inference APIs is Molcura currently calling, local checkpoints, Hugging Face endpoints, or something like Boltz or RFDiffusion via API?

@KarthikTechCon

Hello, I'm Karthik, a Full-Stack Python & AI Application Developer with 15+ years of experience building enterprise-grade platforms, scientific applications, and data-intensive web solutions. Your Molcura project is particularly interesting because the backend science is already established, allowing us to focus on creating a polished, commercial-grade user experience. I can redesign and implement the Gradio interface using your existing mockups, design tokens, and layout scaffold while maintaining clean, reusable architecture across all modules. ✔ Strong Python development experience ✔ Gradio, Streamlit, FastAPI & AI application development ✔ Custom theming, CSS, reusable component architecture ✔ Integration of existing ML/AI workflows and APIs ✔ Interactive visualizations, loading/error states, validations ✔ Deployment, documentation, and IP assignment support My approach would be to first build the shared shell (navigation, theming, components), then progressively integrate modules such as structure prediction, docking, QSAR, simulations, and database tools. Availability: Immediate Engagement: Paid trial screen followed by milestone-based delivery Rate: Flexible based on scope and milestones I would be happy to review the live application, mockups, and scaffold and provide recommendations before starting. Regards, Karthik

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@Srashtasoft

Hello, Molcura sounds like an exciting project. The fact that the scientific backend is already working and the design system, mockups, and scaffold are prepared makes this a strong implementation-focused engagement where I can add value quickly. My experience includes: ✓ Python Application Development ✓ Gradio & Interactive AI Interfaces ✓ Custom CSS/Theming & Component Systems ✓ Data-Dense Dashboards & Scientific UIs ✓ API Integration & Backend Wiring ✓ Docker Deployment & Environment Setup ✓ Git-Based Collaborative Development For this project, I would focus on: ✓ Building a reusable application shell (navigation, theme, shared components) ✓ Implementing modules consistently across the suite ✓ Connecting UI workflows to existing prediction/docking logic ✓ Loading, validation, empty, and error states ✓ 3D molecular visualization integration ✓ Performance and usability refinements ✓ Deployment-ready packaging I am comfortable working within an existing design system and translating mockups into maintainable Gradio components rather than creating ad-hoc screens. I am available to start with the paid trial screen immediately and can then move into milestone-based delivery for the full suite. Best Regards, Jemin Sagar

@cindyviorinar

Hi there! ? Molcura sounds like a fascinating project. I'd love to help transform the current Gradio application into a polished, commercial-grade platform that's intuitive for researchers while maintaining the depth required for scientific workflows. I have strong Python experience and I'm comfortable working with Gradio, custom theming, reusable component architectures, and data-heavy interfaces. Since your backend logic, mockups, design tokens, and scaffold are already in place, I can focus on implementing clean, maintainable UI components, wiring them to the existing prediction pipelines, handling all interaction states, and ensuring a consistent experience across the entire suite. I'm also happy to start with the paid trial screen so you can evaluate code quality, communication, and implementation approach before moving into the full project. Looking forward to learning more and seeing the mockups and existing application. Thanks for your time, and have a great day! Best regards,

@Visharaa2024

I'd be excited to help transform Molcura from a functional research tool into a polished, commercial-grade platform suitable for research labs and universities. With strong Python expertise and experience building data-intensive interfaces, I can refine your existing Gradio application by implementing the provided mockups, design tokens, and layout scaffold into a cohesive, reusable shell featuring shared components, sidebar navigation, and consistent theming across the entire suite. I can integrate your existing prediction and docking logic into each module, implement robust interaction states for loading, validation, empty results, and errors, and enhance the user experience with custom CSS and responsive layouts tailored to complex scientific workflows. I’m also comfortable working with 3D visualization components and can incorporate molecular viewers to improve usability for researchers. I’m happy to begin with the proposed paid trial screen, work through milestone-based deliveries, and provide full IP assignment upon completion. Once I review the live application and assets, I can share relevant technical UI examples, my preferred engagement structure, availability, and a detailed estimate for bringing Molcura to a professional, production-ready standard.

@NEHABHAT92

As a passionate web and mobile app developer, I have an extensive 9+ years of experience that sets me apart. My core skills in AI development, JavaScript, and most importantly, Python make me the ideal candidate for your Molcura project. In addition to my front and back-end proficiency, I bring to the table something I believe you'll find impressive: a sample of a medical app interface I created recently. This showcases my capabilities in designing data-dense or technical UIs - exactly what your drug discovery web app requires. While I have yet to directly work with Gradio, I'm very willing to invest the necessary time and effort to get up to speed. Adaptability is one of my strengths; I'm always eager for new technological challenges. Moreover, any cheminformatics or scientific software exposure requested by your project aligns perfectly with my career experience, amplifying my suitability further. Finally, being a steadfast believer in constant communication, transparency, and maintaining intellectual property rights,I will ensure that our collaboration is characterized by these principles throughout the entire duration of our partnership. So, let's combine my robust Python skills and keen appetite for learning new technologies to transform Molcura into a professional-standard haven for research labs and universities!

@serviceaxisgroup

Hi, I can help with rebuilding your Molcura AI drug-discovery web app into a clean, commercial-grade, modular Gradio suite with a consistent reusable shell. I’ll implement the design-token theming and shared components once, then wire each module to your existing Python prediction/docking logic and add polished interaction states plus the 3D molecular viewer. To reduce risk, I’ll start by delivering the sidebar + theming shell on one trial screen, then iterate module-by-module with frequent check-ins and screenshots for quick reviews. Which Gradio or Streamlit stack are you using today, and do you already have a preferred 3D viewer library? What’s your expected trial screen for the paid one-screen milestone? I’m ready to start with the trial this week.