AI-powered web app that helps Indian citizens discover every Central & State government welfare scheme they're eligible for — in English, Hindi, and Marathi.

@point2solutions

Hi, I Checked your JOB POST you need an AI-powered government-scheme discovery platform that matches users with eligible schemes through conversational profiles, multilingual AI and 4,600+ aggregated government schemes. We’ve built similar AI recommendation platforms with LLM-based profile extraction, multilingual workflows, large-scale data aggregation, automated scraping, PostgreSQL and full-stack React/.NET architecture. Our approach would cover the complete flow from profile/chat → eligibility matching → AI explanation → scheme details → bookmarks/sharing, with live fallback search when needed. We can also handle the scheduled data-sync, deduplication, caching, SEO pages, Docker deployment, APIs and production infrastructure described in your architecture. Let’s connect and discuss your current implementation, priorities and roadmap so we can take this forward. Thanks

@Mario551

My name is Mario Fernando, and I am a Senior Developer. My company has experience building scraping software for dropshipping businesses and execution-cycle systems for chatbots, including AI context management, function calling, and automated decision-making. We understand the project requirements. However, India has specific social, administrative, and regional criteria that must be defined by the client so they can be correctly used in eligibility and search logic. Official APIs will be prioritized. Any required credentials, registrations, permissions, or access must be obtained and provided by the client. For sources without APIs, scraping will be implemented where technically feasible. Scraping will only cover sources defined in the initial design, since each scraper is deterministic and must be specifically built for each website. Where supported, periodic synchronization, normalization, deduplication, and updates will be implemented. AI will be the core decision engine: it will build the user profile, decide what to search, call designed functions, query local/external sources, ask follow-up questions, explain results, and provide translations. The first stage will review the existing code and integrations. SEO-optimized pages for the main schemes in scope will also be developed. Source code and deployment documentation will be delivered.

@Prutheus

Your architecture note tells me you have thought this through — React 19 + TS, Cloudflare Workers, Docker behind Nginx. So let me focus on the part that actually decides whether this app is useful: eligibility matching. Scheme eligibility is rule logic, not a language-model job. Age, income, caste, state, profession and occupation combine into hard criteria, and an LLM asked to decide eligibility will hallucinate a scheme the user does not qualify for. My approach: - Eligibility as a versioned rules engine — each scheme is a data record with structured criteria. Deterministic, testable, and correctable when a state changes its income ceiling. - The LLM does what it is genuinely good at: parsing the free-text profile ("24-year-old farmer from Maharashtra earning ₹80k") into structured fields, and writing the plain-language explanation of why a matched scheme applies. It never decides the match. - Trilingual output for English, Hindi and Marathi with the scheme names kept canonical, so search still works across languages. - Rules and scheme data editable without a deploy — central and state schemes change constantly. Proof: I build AI-integrated production systems, including document-processing and translation pipelines running 24/7 for industrial clients, plus multi-source data platforms on PostgreSQL. Question: where does the scheme data come from — manually curated, or scraped from the government portals? That is the biggest maintenance question in the whole project. Martin

@TeraByte26

Hi Prajwal, I will deliver an AI-powered web app with a React frontend, ASP.NET Core 8 backend, and PostgreSQL database, integrating Claude API for conversational AI matching and multilingual support. I commit to completing this within the 150000-250000 INR budget. Want to start now? Waiting for your response in chat! Best Regards.

@santoshkumars17

As a Full Stack Developer with significant experience in React.js, I'm well-equipped to tackle the architecture demands of this project. My previous work with TypeScript and React 19 aligns perfectly with the frontend requirements, while my proficiency in ASP.NET Core 8 and PostgreSQL is exactly what you need for the backend. I offer an end-to-end solution that includes API integration, database management, performance optimization - all key skills necessary for this challenging project. One of the crucial aspects of your project is the AI-powered matching system, and I'm well-versed in working with such advanced technologies. From chat extraction to generating plain-language explanations using Claude API from Anthropic, I have the proficiency to streamline these complex processes and ensure that the system interacts naturally. Moreover, my expertise in Entity Framework Core 9 ensures efficient handling of large datasets like your 4,600+ government welfare schemes. Rounding off my professional capabilities are my excellent problem-solving skills and dedication to quality code writing. With over 5 years of coding experience across various domains and my keen attention to detail, you can trust me to create a robust web app that effectively aggregates data across multiple sources and provides logical matches efficiently. Combining all these qualities, I assure timely delivery, clear communication and a successful outcome to this unique project!

@jagratip3

Hi, I have strong experience with full-stack development, AI integrations, data pipelines, and production deployments, and this project is closely aligned with the kind of systems I build. I can work across React/TypeScript, ASP.NET Core, PostgreSQL, Claude API, Selenium, Docker, and cloud deployments to deliver the complete scheme-discovery platform. I can implement conversational profile extraction, follow-up questions, AI-generated eligibility explanations, multilingual EN/HI/MR support, smart filtering, bookmarks, WhatsApp sharing, and SEO-focused scheme pages. On the data side, I can build reliable scheduled ingestion pipelines from government sources with deduplication, normalization, upserts, caching, and on-demand detail scraping. I’ll also ensure the architecture remains scalable and cost-efficient through caching and controlled AI usage. I’m comfortable with production concerns including API security, CORS, Docker, health checks, database migrations, edge gateways, deployment, and performance optimization. This is the type of end-to-end AI/data platform I’d be happy to take ownership of, from development through production deployment. Best regards, JP

@KarthikTechCon

Senior Full-Stack Architect: With 15+ years of experience, I specialize in building dynamic applications, and I'm excited to help you create a seamless user experience that connects citizens to government schemes through conversational AI. Proposed Solution: - Develop a React 19 + TypeScript frontend integrated with Claude for conversational AI matching, allowing users to interact naturally. - Implement a robust ASP.NET Core 8 Web API to manage multi-source scheme aggregation and live data scraping. - Utilize PostgreSQL to efficiently store and deduplicate 4,600+ schemes, ensuring quick access and response times. - Leverage Docker and Cloudflare Workers for scalable deployment and performance optimization. Key Deliverables: - User-friendly interface with multilingual support (EN/HI/MR) for broad accessibility. - Intelligent scheme matching with personalized explanations for each user. - SEO-optimized landing pages for improved visibility in search engines. - Comprehensive documentation and a testing framework for seamless handover. Engineering Standards: - Ensure high performance with auto-scaling capabilities and efficient caching to optimize API costs. - Implement rigorous testing and monitoring for reliability, including health checks and auto DB migrations. Timeline & Next Steps: - Estimated project duration: 8-10 weeks, including development and testing. - Full documentation will be provided upon completion for future updates and maintenance. Best Regards, Karthik B

@saurabhrathi31

Hi, I like your idea and I am very interested to work on this kind of things. About my professional skills - I have 9+ years of experience in Software development having hands on Asp.Net MVC, Asp.Net Core, Web API, SQL, C#, Azure, Xamarin, etc. I am working with one of the organization in full time role and freelancing is part time job for me. I am using Github Copilot, Claude, Chat GPT and Devin as AI tools. Kindly let me know if we can work together. Many thanks

@alluankit01

Hi, I can build your AI-powered welfare scheme discovery platform with React/TypeScript, ASP.NET Core 8, PostgreSQL, Claude AI, multilingual support, scraping/sync jobs, SEO pages, and Docker-based deployment. The best solution is to first design the scheme data model, eligibility rules, user profile structure, and matching workflow. Then I’ll build the platform in modules: conversational profile extraction, scheme matching, follow-up questions, AI explanations, English/Hindi/Marathi translation with caching, fuzzy search, filters, bookmarks, WhatsApp sharing, live MyScheme fallback, and SEO landing pages. I’m comfortable with React, TypeScript, ASP.NET Core, C#, Entity Framework, PostgreSQL, Docker, REST APIs, Cloudflare Workers, Claude API, scraping with Selenium/HtmlAgilityPack, background jobs, caching, health checks, and production deployment. Deliverables will include: * React/TypeScript frontend * ASP.NET Core 8 API * PostgreSQL scheme database * AI chat/profile extraction * Eligibility matching engine * EN/HI/MR multilingual support * Multi-source scheme sync * Dedup/upsert pipeline * Live fallback search * SEO scheme pages * Bookmarks and WhatsApp sharing * Docker deployment setup * Documentation and handover I’ll focus on a scalable, citizen-friendly platform that gives accurate scheme matches, plain-language explanations, and a smooth experience across English, Hindi, and Marathi. Best regards Ankit

@Qloron0804

Hi, I went through your requirements in detail, and this is much more than a standard AI chatbot. The combination of React 19, ASP.NET Core 8, PostgreSQL, Claude, government data aggregation, scraping, multilingual support, and SEO needs a well planned architecture from the start. We have exact skilled resources for this project with hands on experience in React, TypeScript, C#, ASP.NET Core, PostgreSQL, REST APIs, AI/LLM integration, web scraping, Docker, and cloud deployment. Our approach would be: • Build the user profile and conversational AI flow first, including structured extraction and follow-up questions. • Design a reliable scheme aggregation pipeline with scheduling, deduplication, upserts, and caching. • Implement AI based matching and plain language explanations without making the AI responsible for core eligibility logic. • Add multilingual support with caching to control Claude API costs. • Build smart search, filters, bookmarks, WhatsApp sharing, and live fallback search. • Optimize the database, APIs, SEO pages, Docker setup, and production deployment. We understand that government data can change and sources can be inconsistent, so reliability, logging, validation, and graceful fallback will be important parts of the implementation. We can share matching developer profiles and arrange a technical discussion. Our team can also work during your business hours with clear and regular communication. Best Regards, Nikhilesh

@sumitwebrainbows

With years of full-stack development experience under my belt, I am well-equipped to tackle this ambitious project. Not only do I have proficiency in every technology mentioned in the architecture, but I've also implemented them in real-world scenarios much like yours. Handling complex tasks is second nature to me; your project's scraping, scheduling, and deduplication pipelines align perfectly with my expertise. On top of that, I've worked extensively on deciphering and organizing messy government data for easier access. My grasp of AI-powered tools like Claude (Anthropic) and Hugging Face Spaces is not just limited to their implementation; I have deeper knowledge on using them functionally and efficiently. Your requirement for multi-source aggregation, multilingual generation & translation, as well as conversation-driven profiling is something I can seamlessly handle with precision. As an added advantage, my contribution to various modern JavaScript frameworks gives me an edge in handling ReactJS/TS with extreme finesse.

@dushyant317

Hi, I can build this end-to-end AI government-scheme discovery platform using React/TypeScript, ASP.NET Core, PostgreSQL, Claude, and automated data pipelines. I can handle conversational profile extraction, scheme matching, multilingual AI, scraping/deduplication, caching, search, SEO pages, WhatsApp sharing, and production Docker deployment.

@NEHABHAT92

As a seasoned full-stack developer with a firm grasp on React.js, I am uniquely positioned to bring your AI-powered web app to life. With over 9 years in the industry under my belt, I've developed keen insights on how to marry effective frontend frameworks with robust backends. Your vision of a user-friendly interface, multi-source scraping, end-to-end deployment and integration of AI like Claude are all areas where I have excelled in the past. My skills extend beyond mere technicalities and delve into practical solutions. I'm adept at handling real-world data engineering issues that could arise from structured extraction, dedup/upsert pipelines and multilingual generation, all of which are crucial components of this project. I've also dealt extensively with messy data from several sources and understand the importance of scheduling and maintaining data consistency. This project won't just be solving technical problems but contributing positively to society by empowering Indian citizens. My experience in E-commerce and CMS website development has honed my ability to handle large databases like PostgreSQL with care and dexterity. Furthermore, my team offers not just cost-effective solutions but also long-term support for every aspect of the project. Your ambitious initiative deserves an experienced pair of hands and I eagerly await the prospect of bringing it to fruition as your chosen developer.

@TechWagger2026

With over 14 years of experience and a deep understanding of the relevant technologies like .NET, PostgreSQL and React.js, I believe I am uniquely positioned to tackle this project. Having completed more than 416 similar projects successfully, I am capable of comprehensive full-stack delivery which spans across hosting platforms, containerization and deployment. One aspect that sets me apart is my practical LLM integration experience, which goes beyond just providing Chatbot services. My multilingual extraction, conversation state management, cost-aware caching expertise will truly enhance the conversational AI matching features in your web app. Additionally, my background in diligent data engineering comprising all aspects of multi-source scraping (like Selenium and HtmlAgilityPack), data deduplication and upserting will ensure that your app remains up-to-date with the government data. Furthermore, my strong grip on a wide array of programming languages and frameworks ensures that any changes or additions to the current tech stack will be effortlessly implemented by me. It also means that we can explore alternative technologies/frameworks for maximum efficiency if deemed necessary along the course of the project. My client-centric approach means I prioritize your satisfaction and strive to deliver tailored IT solutions to fit your unique needs. Build India Welfare - Let's start this incredible journey together!

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. I’ve handled similar work before and can help you avoid that. Regards, Rajesh

@fatema0013

Hi, I can build this end-to-end government scheme discovery platform with a production-ready architecture matching your requirements. I have experience with web scraping, data aggregation, PostgreSQL, AI/LLM integrations, APIs, and full-stack application development. I can implement: • React + TypeScript frontend with profile forms, conversational AI, filters, bookmarks and WhatsApp sharing • ASP.NET Core 8 Web API with PostgreSQL/EF Core • Multi-source government scheme scraping/sync with Selenium/HtmlAgilityPack, deduplication and automated upserts • Claude-powered profile extraction, follow-up questions, scheme matching, explanations and EN/HI/MR translation • Fuzzy search, autocomplete and advanced eligibility filtering • MyScheme live fallback when local results are unavailable • Lazy scraping and caching for detailed scheme information • Dockerized deployment with Cloudflare Worker, Railway/Render and Neon • SEO-friendly scheme landing pages, health checks, CORS and production deployment I’ll focus on reliability, maintainability, API-cost optimization, accurate eligibility matching, and clean UX. I can also structure the project so the scheme pipeline can continuously refresh government data without manual intervention. I’m ready to start and can deliver the complete system with source code and deployment documentation.

@Gurpreetsing343

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@hoangvanp

Hello, Creating an AI-powered web app to simplify the discovery of government welfare schemes for Indian citizens is a powerful initiative. The key lies in providing a seamless user experience, enabling users to effortlessly find relevant schemes through natural language interactions or a quick profile form. To ensure the success of this project, I would first focus on reviewing the existing architecture and understanding the intricacies of the conversational AI matching feature. Implementing multi-source scheme aggregation and multilingual support will be crucial aspects to consider. Additionally, optimizing search functionalities, implementing SEO strategies, and enabling bookmarking and sharing features will enhance user engagement. With my experience in developing similar applications that prioritize user-centric design and efficient data handling, I am confident in delivering a solution that meets the project's objectives effectively. Best regards,

@aprkdream

Hi, I understand that you're looking to build an AI-powered web app that assists Indian citizens in discovering government welfare schemes they're eligible for. After reviewing the architecture and key features, I'm confident that I can contribute to this project as a senior backend-focused full stack developer. With experience in integrating AI models and working with React and TypeScript, I believe I can effectively assist in enhancing the conversational AI matching feature using Claude (Anthropic). I'd like to suggest a review of the ASP.NET Core 8 Web API and PostgreSQL database schema to improve data aggregation and querying performance, and propose the implementation of a caching layer to reduce the load on the database. • Key technical improvements I'd like to suggest include: - Optimizing the PostgreSQL database schema for improved query performance. - Implementing a caching layer to reduce the load on the database. With my background in Laravel and Node.js, I'm confident in my ability to deliver high-quality backend development while integrating the frontend with the backend API. I estimate that we can deliver the core features within 7 days, however, this may vary depending on the complexity of the tasks and the availability of resources. Before we begin, I have a few questions to clarify the project requirements. Can you provide more information about the data sources and the expected volume of users? Additionally, are there any specific security or compliance requirements that we need to consider? Best Regards, Anil Prajapati