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I want to introduce AI in our in-house web-based tool called 'AssetRegister'. AssetRegister is a data-driven tool that integrate with multiple sources of different categories viz - devices, users, purchases etc. - and then compare all the sources based on the common primary key for the same category and then provides a list view showing which primary key record is available in what all sources and do this kind of work. We're using the following - Spring Boot microservices (for Backend) React frontend (for Frontend) MS SQL (for database) We need AI-Developer to help integrate with Springboot services. Users for these applications will be organisations and their own teams (<50 users). Now - what AI can do for our users is - 1. Deep analysis of this list/comparative-view and also the individual datasources - on various parameters and KPI's that it thinks are relevant - and if the KPI provided is not relevant, the users can share their feedback back to it and it improves its analysis further. The analysis is better to be in the form of some interactive charts or dashboards. 2. Provides an interactive chat session that can help users to interact with the data what is all present in the tool - in the very natural languge. 3. The AI should also be able to provide recommendations on the data and all the improvement areas from data and the integration or any other points of view. 4. The AI may also look through the internet and provide some additional data information / metadata which otherwise is not available in any of the connected datasource. What other detials would you need, we can chat.
Projektin tunnus (ID): 40263584
14 ehdotukset
Etäprojekti
Aktiivinen 13 päivää sitten
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Hey! Sounds like a cool project—basically making AssetRegister smart. AI can: analyze your comparative data and individual sources, show insights in interactive charts, learn from user feedback, provide recommendations, and even pull extra metadata from the web. We’d use your Spring Boot backend, React frontend, and MS SQL DB. AI could be via Python services or cloud LLMs for chat and insights. To scope it better, I’d need to know: data size & update frequency, cloud vs self-hosted AI, feedback loop type, security/privacy limits, and expected user load. I can also sketch a simple architecture showing how AI, backend, and dashboards would interact. Want me to do that?
₹15 000 INR 20 päivässä
4,4
4,4
14 freelancerit tarjoavat keskimäärin ₹12 876 INR tätä projektia

With my extensive experience as a Full Stack Developer specializing in AI integration and intelligent workflows, I bring the perfect blend of skills and know-how to enhance your "AssetRegister" web-tool. The goal of using AI in your tool resonates deeply with my work philosophy of automating manual operations while building efficient and secure systems. As you mentioned, incorporating AI would enable deep analysis on crucial matrices, interactive chat sessions for data interaction, providing valuable recommendations, and expanding available data by scanning the internet - all features I have extensive experience implementing. I boast a strong background working with Spring Boot microservices and React frontend frameworks similar to yours, as well as collaborating with databases like MS SQL. This means I understand the language your system speaks inside out and would easily align new AI modules with the existing architecture. In my recent projects, I have successfully built scalable applications focused on high-performance data analysis, leveraging AWS cloud services where necessary. These projects also included similar SaaS platforms serving organizations with large user bases which makes me confident about delivering effectively to your team of fewer than 50 users.
₹7 000 INR 7 päivässä
3,5
3,5

Hi there, I’ve reviewed your project and understand you’re looking to integrate AI into your in-house AssetRegister tool to provide deep analysis, recommendations, and natural language interaction across multiple data sources. The focus will be on enhancing your Spring Boot backend with AI-powered insights, interactive dashboards, and a chat interface that allows users to query and explore their data intuitively. I have extensive experience building AI integrations for enterprise-grade web applications using Spring Boot, React, and SQL databases. I can design and implement models that analyze comparative views, highlight KPIs, offer improvement suggestions, and augment data with external sources when needed. The solution will be interactive, user-friendly, and scalable for small organizational teams, with feedback-driven learning to refine insights over time. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486
₹10 000 INR 5 päivässä
3,6
3,6

I appreciate your detailed project description, and I'm confident my decades of experience in web development as well as my deep understanding of Java will make me an excellent fit for this project. My expertise is ideallysuited to leveraging technologies, like AI integration, that can maximize the effectiveness of powerful tools like 'AssetRegister'. To begin, by equipping 'AssetRegister' with data-driven AI analysis functionalities, we can drastically improve the efficiency of your teams' work. My skills in Spring Boot microservices and MS SQLwould be vital to streamlining the integration process on the backend. Similarly, using React frontend, we can seamlessly present users with interactive charts and dashboards that effectively showcase the deep analyses conducted by the AI. More excitingly, I can design an intuitive chat session feature within 'AssetRegister', allowing your users to interact with their data using natural language. It's also worth mentioning that my proficiency extends beyond building these technical components; I pride myself on creating sustainable solutions. This means that any recommendations the AI suggests or additional data it uncovers from external sources will be expertly integrated into your interfaces.
₹7 000 INR 7 päivässä
1,8
1,8

Dear [Client], I am eager to assist you with the integration of AI into your 'AssetRegister' tool. With my expertise in Spring Boot microservices, React, and data analysis, I understand the critical nature of your project. Integrating AI will provide your users with deep insights through interactive dashboards, enhancing their ability to analyze comparative data efficiently. I can implement a chat interface that allows natural language interactions, enabling users to engage with their data seamlessly. Moreover, I propose developing algorithms that will continuously refine their analysis based on user feedback, ensuring that key performance indicators remain relevant and insightful. Additionally, gathering external data from the internet to enrich your existing sources will be prioritized, giving your users a comprehensive view of their assets. I have successfully completed similar projects that involved AI and data optimization, and I am confident that I can deliver a robust solution for 'AssetRegister'. Looking forward to your thoughts! Best regards, Osama
₹7 770 INR 6 päivässä
0,0
0,0

With my adeptness in AI Development, proficiency in Data Analysis, and mastery of Java, I am confident that I can integrate AI seamlessly into your AssetRegister web tool. Given the complexity of your tool that relies on multiple sources and primary key comparisons, an AI-powered solution is precisely what you need to enhance its functionality and value proposition. My approach is characterized by creative problem-solving, quality-driven thinking, and a multidisciplinary understanding that will create a harmonious synergy with your existing stack of technologies i.e. the Spring Boot microservices, React frontend and MS SQL database. Furthermore, my skillset in full-stack development and cloud computing enables me to provide comprehensive support at either front-end or back-end — an invaluable asset for such a multi-faceted project. I fully recognize the necessity for your project to provide deep analysis through interactive dashboards to visualize essential KPIs—and more so, to utilize data effectively to make informed decisions. My expertise will ensure these reports are both insightful and user-friendly. Additionally, my knowledge extends beyond the task at hand: looking through the internet for additional data sources could easily leverage my data research skills which transcend disciplinary barriers.
₹12 000 INR 30 päivässä
0,0
0,0

Being experienced in Full Stack Development and particularly adept at both MEAN and MERN stacks, I am confident in my ability to introduce artificial intelligence into the 'AssetRegister' web tool. Over the years, I have masterfully developed applications using React on the frontend and Spring Boot microservices on the backend while leveraging the collaborative efficiency of MS SQL. Integrating AI into your web-tool will mean much more than simply providing dashboards or data charts. To me, it means enabling your users to access precise information in a form that's most useful to them, allowing for easy navigation and interaction. Additionally, I can help transform your user's experience by introducing a chat system that converses naturally while aiding precise decision making. Further, my AI integration approach will not only empower your business with improved insights but facilitate feedback channels for refinement-based contextual improvements. Additionally, as an MEAN / MERN full stack developer, I am well-versed in various third-party API integrations essential for this project. My skills in deploying on platforms like AWS and DigitalOcean will ensure swift adoption of the new intelligence features without downtime disruptions.
₹8 600 INR 8 päivässä
0,0
0,0

Hello, I carefully reviewed your requirement to integrate AI capabilities into your "AssetRegister" web tool. I understand that you are looking to enhance the platform with intelligent data analysis, interactive AI chat, automated recommendations, and external data enrichment while maintaining smooth integration with your existing Spring Boot and React architecture. With hands-on experience in Python, AI integration, REST API development, and full-stack application workflows, I can seamlessly align AI modules with your current microservices structure and MS SQL database. Here is how I would approach your project: • Analyze your current Spring Boot microservices architecture • Design and integrate AI APIs for intelligent insights and chat functionality • Implement secure backend communication between AI services and MS SQL • Optimize performance for a team environment (under 50 users) • Ensure clean UI integration within your React frontend I focus on writing scalable, secure, and maintainable code. My goal is not just integration, but delivering measurable improvement in workflow automation and data-driven decision support. I am confident I can complete this within 7 days while maintaining clear communication and regular progress updates. Looking forward to collaborating with you. Best regards, Gowsalya T.
₹7 000 INR 7 päivässä
0,0
0,0

Hi, I’ve gone through your requirement carefully. This is not just about plugging AI into Spring Boot — it’s about building a reliable intelligence layer over your structured data and multiple sources. We can approach the AI layer in two ways: Option 1 – Azure OpenAI + Azure Cognitive Search (Recommended) Use Azure Cognitive Search to index your datasets and Azure OpenAI (GPT models) to analyse, compare and generate contextual insights and recommendations. This provides higher accuracy, strong cross-source reasoning, faster implementation and enterprise-grade scalability. It works especially well for KPI-driven dashboards and natural language interaction. Option 2 – Custom Model Approach We can adapt or fine-tune open-source models using your internal data. This reduces API dependency but requires more time for training, tuning and maintenance, and accuracy improves iteratively. For enterprise use cases where decision quality matters, I recommend the Azure OpenAI + Search approach for better consistency and faster ROI. We can later evolve into a hybrid model if needed. My engagement model is ₹75,000 per month for ~75 hours of dedicated AI integration and architecture work. Estimated timeline for initial rollout (core integration + comparison engine + AI assistant foundation): 4 weeks. Before finalising architecture, I would like to review data volume, KPI definitions, response expectations and security constraints. Happy to discuss further. Regards, Vishnu
₹75 000 INR 28 päivässä
0,0
0,0

Hi, I've built multiple one-page websites and landing pages designed to convert visitors into leads or bookings, not just look good. I reviewed your project and understand you need a clear, focused page that explains your AI integration offer and drives action. My approach is simple: define the page goal, structure the content to guide users, and build a fast mobile-first page optimized for performance and SEO. I avoid bloated designs and focus on clarity, speed, and results. I can start with a clear section layout highlighting the AI features for AssetRegister, including deep analytics, interactive chat, recommendations, and external data sourcing. Happy to discuss your goals and timeline. Nadia
₹9 400 INR 14 päivässä
0,0
0,0

Hi there I will design and integrate an AI layer into AssetRegister that connects cleanly with your existing Spring Boot microservices and React frontend to deliver intelligent analysis interactive dashboards natural language chat and recommendation capabilities. Since your system already aggregates multi source data by primary key I will build an AI orchestration layer on top of your existing APIs without changing core architecture using secure REST integration and structured prompt logic. Required details to proceed - Sample schema and data size - Hosting environment - Compliance requirements - Preferred LLM provider - Access pattern between microservices I have experience integrating AI layers into enterprise data platforms using Spring Boot and React with structured API based orchestration. Q) Are you hosting this on Azure AWS or on premise so I can align the AI deployment model correctly I am ready to start designing the architecture once details are shared Best Regards Usama F
₹5 999 INR 4 päivässä
0,0
0,0

Introducing AI into AssetRegister fits perfectly with your Spring Boot microservices, React frontend, and MS SQL stack. I’d start by adding dedicated Spring Boot endpoints that compute KPIs across your device/user/purchase data (coverage, mismatches, stale/orphan records), then pass those aggregates through an AI layer (Spring AI + OpenAI or a similar provider) to generate explanations and concrete improvement suggestions. React can consume these APIs to render interactive charts and drill‑down dashboards so teams can visually explore anomalies and recommended actions. Next, I’d implement a “chat with your AssetRegister” service: a secure Spring Boot chat endpoint that combines LLM reasoning with controlled access to your SQL data, letting users ask natural‑language questions like “Show users where HR has a record but no matching device.” User feedback on irrelevant KPIs or answers will be logged and used to iteratively refine prompts and rules. Finally, the AI layer can call curated external APIs or web search to enrich assets with metadata (lifecycle, security advisories, best‑practice policies) and turn that into prioritized recommendations for cleanup, integration fixes, or governance improvements, all staying behind your Spring Boot services and role‑based access for <50 internal users. Which environment are you running AssetRegister in right now (AWS, Azure, on‑prem), so I can align the AI integration and deployment strategy?
₹7 000 INR 7 päivässä
0,0
0,0

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