Demo teaching plateform -- 2

@onkarkulkarni8

Hello, I checked your "Demo teaching plateform -- 2" project description, it looks like the focus is on delivering a clean, responsive website that works well across all devices. I prefer understanding the expected layout and user experience first, then building pages that closely match the design while keeping the code organized and easy to maintain. Feel free to share the design or current website, and I'll suggest the best implementation along with a realistic timeline. Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@jafarali14

Hi there, Your Demo Teaching App has a strong AI use case, especially the combination of **PDF/text → automatic MCQ generation** and personalized analysis that identifies the exact chapter and topic where a student is struggling. I have 8+ years of experience with Node.js, Express, React/Flutter, PostgreSQL, MongoDB, REST APIs, AWS, and AI/LLM integrations. I’d recommend **Flutter + Node.js/Express + PostgreSQL**, with Gemini/OpenAI for the AI layer and Agora/100ms for live classes, depending on cost and required classroom features. For the AI Test Generator, I’d build a structured pipeline for document upload, text extraction, chapter/topic detection, MCQ generation, answer validation, and teacher review before publishing. Each question would retain chapter/topic metadata, allowing the student analysis engine to identify weaknesses from incorrect answers rather than producing generic AI feedback. I can also build the admin content management, live/VOD classes, PDFs/notes, student authentication, test portal, dashboards, performance reports, and API layer. The architecture will keep AI, video, content, and student modules separated so future subjects and features can be added without major rewrites. I’m an independent developer and personally handle the development. Happy to discuss your exact test-generation format and define milestones for the MVP. Best, Jafarali

@shayankhan333

Feeding raw PDFs straight to Gemini for MCQ generation works, but the trap is topic tagging. If each question isn't tagged to a chapter and subtopic at generation time, the weakness report later has nothing to group on. I'll build the admin panel with PDF upload feeding Gemini 1.5 Flash for tagged MCQ sets, a Supabase backend, and a React Native student app with Agora for live classes. 1) Should the weakness report be per-test, or cumulative across all attempts? 2) Android only first, or iOS at launch too? Cheers Shayan

@Prutheus

A teaching/demo platform is really three things — content, live sessions and progress — and mixing them up early is what makes these projects stall. - Node/PHP backend with clear roles (student, teacher, admin) enforced server-side - Course/lesson structure with media, plus scheduling for live demo sessions - Progress tracking and a clean mobile-friendly frontend Proof: I built a cross-platform learning app (iOS/Android/web from one codebase) with subscriptions and 3,600+ content items, live in production. Which part matters most for v1 — self-paced content or live classes? And is there a design already? That shapes the estimate. Keen to discuss. Martin

@mahads31

As an agile, tech-savvy developer, I'm the ideal candidate to bring your comprehensive EdTech platform to life. Drawing on considerable experience across multiple industries and a plethora of international clients, my team and I share your passion for transforming innovative ideas into high-impact, scalable realities. My extensive skill set in JavaScript, Node.js, and web/mobile app development directly aligns with the stack you've recommended for this project. Furthermore, my background in UI/UX ensures that my platforms are not just technically proficient but also user-friendly to guarantee a seamless experience for both administrators and students. Regarding AI integration, I'm well-versed with Google Gemini and OpenAI GPT-4o-mini - cutting-edge tools capable of parsing complex content that your platform demands. My proficiency in AI Automation further guarantees that we excel at leveraging these tools to generate effective, personalized test series as well as provide in-depth analysis of students' weak topics post-test submission. In short, partnering with me would mean delivering an EdTech solution that is efficient, reliable, low-cost and built for scalability to ensure lasting performance and business growth.

@RajAbhisek

Hi, The AI side is what makes this worth building - upload a PDF, get a proper test series out of it, and after a student submits, a report naming the exact chapter and topic they are weak in rather than just a score. That mapping from wrong answers back to topics is the piece that needs designing carefully, and it starts at test generation: every question has to carry its chapter and topic tag from the moment it is created. Your stack choice is sound. I work in React Native, Flutter and Node, and have built AI features into live apps. Can you ping me here? Happy to talk it through. Thanks, Raj

@mikes126

The 1 GB mobile upload flow is where I’d focus first: reliable resumable uploads, auth/social login, upload management, and instant account-status handling — while leaving your existing playback/recommendation backend untouched. I’d build the mobile app in React Native and connect it to your existing API through a clean service layer. For large videos, I’d use resumable uploads with progress tracking, retries, and proper failure recovery rather than sending a 1 GB file through a standard API request. For the admin dashboard, I’d keep it intentionally lightweight: search/filter users, view account details, suspend/activate accounts, and trigger password resets. Account status changes would be reflected in the mobile app through the existing API. Deliverables: iOS + Android source, build-ready Lightweight web admin dashboard API/environment configuration README and deployment documentation Deployment walkthrough One important question before I give you an accurate estimate: does your existing backend already provide video upload/storage endpoints (S3, Firebase Storage, etc.), or should I build that layer too?

@alexkvat

I will develop this EdTech platform using a Java-based backend architecture with Python AI services, deployed on AWS infrastructure. The admin panel will be built as a REST API service handling authentication, content management, and live class scheduling. For live streaming, I will integrate Agora SDK with backend control APIs. Content storage will use AWS S3 with CloudFront CDN for optimized video delivery. The AI test generator will be implemented as a Python microservice using Amazon Bedrock with Claude or Anthropic models, alternatively OpenAI GPT-4o-mini based on your preference. The service will parse uploaded PDFs/text files, extract educational content, and generate structured MCQ tests with configurable difficulty levels. I will build a pipeline that processes documents, generates questions with multiple choice options, and stores them in a relational database. Student performance analytics will track test results, attendance, and engagement metrics through Java backend services with SQL queries for detailed reporting. The system will generate personalized insights using statistical analysis of student performance patterns.

@rohank2502

Your teaching demo should close in one sitting: live class, notes, then a test written from your file. You run class, store videos and PDFs, and see who enrolled. Students log in, watch live or recorded, open materials, and take the auto-made questions. Scores show without you writing papers. I can start right now. In 24-48 hours you click a live sample: file in, test out, student attempt. Which subject should I load so the first demo looks like your real class?

@priyanshuk879

Hi, I understand you need more than a basic EdTech app, especially with AI-based test generation and student performance analysis. We can build the Admin Panel and Flutter-based student app with live/recorded classes, PDFs, tests, and secure authentication. For the AI part, we can use Gemini or OpenAI to convert uploaded PDFs/text into structured MCQs with answers. After each test, the system can analyze incorrect answers and generate a personalized report showing weak chapters and specific topics. For live classes, Agora or 100ms can be integrated based on your cost and scalability needs. I would suggest building this in phases, starting with the core MVP and then adding advanced AI/reporting features. I can also help with backend, database, API integration, admin dashboard, testing, and deployment. I’d be happy to discuss the workflow and suggest the most cost-effective architecture for the project. Ready to start Immediately.

@bhargav922002

Hello, I'm bharghav, and I bring over 10 years of experience in matching job skills to project requirements. My expertise in PHP, JavaScript, HTML, and Node.js aligns well with your vision for the AI-Integrated EdTech Platform. I understand you need a robust system that includes an admin panel and a student app, emphasizing AI for test generation and student performance analysis. I can deliver professional solutions by integrating reliable live streaming, content management, and AI reporting features, ensuring a seamless user experience. Let’s start a chat to discuss your ideas further and clarify any specific requirements you may have.

@aakaashberi

Hi — the AI pieces are the real USP here, so let me speak to them directly. For the test generator I'd send your uploaded PDF/text to Gemini 1.5 Flash (cheapest for this) with a structured-output schema, so every question returns as clean JSON — stem, four options, correct index — no parsing guesswork. For the personalized report, I'd tag each answer with its chapter/topic, then have the LLM summarise weak areas from that structured data rather than raw answers: more accurate and far cheaper per call. Stack: Node.js API + admin web, student app in Flutter (one codebase for web + mobile), Agora or 100ms for live classes. One honest caveat: the full scope — live streaming, VOD, two AI features, admin + student apps — is genuinely larger than a ₹12,500 budget covers. I'd rather be straight: at this budget I'd deliver a solid Phase 1 (admin + AI test generator + student test portal with the AI report), and stage live streaming/VOD as Phase 2. Also note Agora/100ms bill per-minute usage — an ongoing cost on your account, not a one-off. Question: for Phase 1, is the AI test generator + analysis the priority, or is live class streaming the must-have first? That decides what I build in the first 6 days. Aakaash

@pooja10verma

As an experienced Full Stack Developer, I am well-equipped to undertake the challenges of building your comprehensive EdTech platform. My strong skills in Node.js and PHP combined with modern web development technologies will ensure that the backend systems are efficient and scalable, giving your app the ability to handle a large number of users with ease. Moreover, my expertise in Mobile App Development using Flutter or React Native makes me particularly qualified for your project. I understand the importance of a single codebase for Android and iOS, as it not only simplifies development but also ensures consistent user experience across platforms. AI is a field I am extremely passionate about, and I have applied AI integration into various projects throughout my career. My knowledge of Google Gemini API and OpenAI API will be an asset in executing the essential feature of your project - automated test generation and personalized student performance analysis. My commitment to clean, maintainable code and seamless user experiences aligns perfectly with your requirements, making me a suitable candidate for this project. Let's discuss further and turn your vision into reality.

@dinusharn

Hi, I’m a full-stack developer experienced in AI integrations, Flutter/React Native, Node.js, databases, APIs, and scalable EdTech platforms. I can build your platform with an admin panel, student app, live/recorded classes, PDF/material management, AI-generated MCQ tests, and personalized student performance reports identifying weak chapters and topics. I’m comfortable with Gemini/OpenAI, Agora/100ms, PostgreSQL/MongoDB, authentication, and cloud deployment. I can handle the project end-to-end and deliver a clean, scalable MVP.

@stephenb062

Building an AI-integrated EdTech platform is an exciting challenge, especially with the potential to enhance student learning through personalized analysis. I've previously worked on similar projects that focused on integrating AI for educational purposes, resulting in improved engagement and tailored learning experiences. Your vision for a comprehensive platform that includes features like live class broadcasting, AI test generation, and personalized reporting is clear and ambitious. The use of technologies like Flutter or React Native for cross-platform development aligns perfectly with the need for scalability and cost-effectiveness. We prioritize understanding your goals and maintaining open communication. Our focus is on delivering work that's reliable, well thought out, and aligned with what the client is trying to achieve, not simply completing another project. I’d be happy to share ideas or insights on implementing these features effectively. Let’s connect to explore how we can bring this platform to life together. Regards, Stephen

@Shabansaim4277

I can build the Demo Teaching EdTech platform with a Flutter-based student app and scalable Node.js backend, keeping the architecture cost-effective and ready to grow. I’ll develop the admin panel, live classes using Agora/100ms, recorded content and PDFs, AI test generation from uploaded documents, student test flows, and AI-powered performance reports identifying weak chapters and specific topics from incorrect answers. For AI, I can integrate Gemini or OpenAI with structured prompts and question/topic metadata so reports are based on actual test performance rather than generic feedback. I’ll also handle authentication, database/API integration, dashboards, testing, and deployment. I have experience with Flutter, Node.js, Firebase, AI integrations, REST APIs, and real-time communication. I’d be happy to discuss the exact test/report workflow and finalize the MVP scope.

@anjanad89

Hi — this is right in my wheelhouse. I work professionally with Flutter and LLM/AI API integration, so the two hardest parts of this platform (the AI test generator and the personalized weakness-analysis reports) are exactly what I build. How I see it: this is an ambitious platform, so I'd suggest delivering it in clear phases rather than promising everything at once — that keeps quality high and your budget controlled. Phase 1 (MVP) — the AI core that proves the concept: Flutter student app + admin web panel (single codebase, Android/iOS) Auth (secure login/signup) via Firebase/Supabase for low-cost, fast backend AI Test Generator: upload a PDF/text file → Gemini 1.5 Flash parses it → auto-generates MCQs with options and correct answers Test portal for students to attempt the generated series AI Analysis: on submission, answers go to the LLM, which returns a Personalized Summary Report naming the exact chapter and topic each student is weak in Phase 2 (next milestone) — live classes (Agora/100ms), recorded video/VOD, study-material section, and the full analytics dashboard. I'd recommend Gemini 1.5 Flash for the large PDF context window and low cost, with Firebase to keep backend spend minimal. Given the scope vs. budget, could we discuss what you'd like in the first milestone? I can start with the AI test-generation engine so you see the core USP working quickly. Thanks,

@AngelVibez

Yes, I can develop this complete AI-integrated EdTech platform, including the Admin Panel, Student App/Web, AI test generation, personalized performance analysis, live/recorded classes, study materials, and secure authentication. I can build it with a scalable and cost-effective tech stack.

@GenomyR

Hi, Read your project brief carefully. We are a dedicated digital agency specializing in full-stack web platforms, custom builds, and responsive integrations. Here is how we execute this project: 1. Stage 1 (30% Milestone): Complete architecture layout and core component specification. 2. Stage 2 (40% Milestone): Full core build, responsive styling, API integrations, and database wiring. 3. Stage 3 (30% Milestone): Cross-browser QA, mobile optimization, speed audit, and final hand-off with complete source files. All project deliverables include 100% commercial IP transfer. Happy to clarify any specific requirements right here in Freelancer chat. What is your preferred launch timeline? Best regards, Tumisang SangTech Global