Azerbaijani NLP Tutor AIC

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Java, Translation, SQL, C# Programming, Software Architecture, Deep Learning, GraphQL, FastAPI, REST API, AI Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@kamran2012

Hello, I am excited about the opportunity to enhance YapayAITeach's Azerbaijani NLP capabilities. With extensive experience in deploying NLP models for low-resource languages, I'm well-equipped to develop a robust language layer for your platform. I will train and fine-tune a natural-language model for conversational Q&A, short-answer grading, and topic summarization in Azerbaijani. My approach will include intent detection and basic sentiment analysis to tailor responses to students' moods and performances. I will implement the model behind a REST or GraphQL API for seamless integration with your React front-end, ensuring minimal latency. Additionally, I'll provide evaluation scripts and benchmark datasets to monitor accuracy and performance. Questions: • Do you have a preferred toolkit for language model development? • Are there specific curriculum texts you aim to prioritize in the initial phase? Looking forward to contributing to YapayAITeach and advancing its impact in the Azerbaijani education system. Thanks and best regards, Kamran

@hireageek

Hi there! I’m excited about your project, YapayAITeach, and I have a deep understanding of the needs you’ve laid out. As a top freelancer from California with multiple 5-star reviews, I've successfully developed NLP solutions before, and I'm well-versed in working with low-resource languages like Azerbaijani. My expertise in natural language models will help in crafting the robust language layer that your project is missing. I am fully prepared to train and fine-tune the conversational model to handle Q&A, grading, and topic summarization all in Azerbaijani. Implementing intent detection and basic sentiment analysis to tailor the tutor’s responses to each student's mood is something I can seamlessly integrate into the backend you’re building. Let's discuss this further! I’ll ensure your goals of high accuracy and fast response times are met, and I’m ready to start integrating my work into your codebase as soon as possible. What specific datasets do you have in mind for training, and how do you envision the interaction between the model and your existing front-end?

@abhisaini0188

Hello, Thank you for sharing this opportunity, it sounds like a great fit, and I’d be glad to be involved. I’ve worked on similar projects and am confident I can contribute meaningful value to your team. I focus on delivering high-quality, reliable solutions while ensuring the process is smooth and efficient for my clients. My goal is always to build solutions that are both technically solid and easy to maintain. You’re welcome to review my profile to see examples of my previous work. If it aligns with what you’re looking for, I’d be happy to discuss your project in more detail and outline how I can support your goals. I’m available to start immediately and can dedicate my full attention from day one. Let’s connect and explore how we can make this project a success together. Looking forward to your response. With Regards! Abhishek Saini

@vorasiddh4it

Hello Shahin, I’m an NLP & AI Software Services Provider with 8+ years of hands-on experience building production-grade language systems, including low-resource and non-English languages, for education and conversational AI platforms. I’ve shipped FastAPI-based NLP backends that integrate cleanly with React frontends and meet strict latency/accuracy targets. ? How I’ll Advance YapayAITeach: 1️⃣ Azerbaijani NLP Core (from ground up) • Fine-tune Transformer models for Azerbaycanca Q&A, summarisation, short-answer grading • Custom tokenization & curriculum-aware prompts • Low-resource optimization techniques 2️⃣ Adaptive Intelligence Layer • Intent detection + lightweight sentiment analysis • Response adaptation based on student performance & mood 3️⃣ API & Deployment • FastAPI + REST / GraphQL endpoints • <800 ms inference on T4 GPU • Docker Compose one-click deployment • Evaluation scripts + benchmark datasets ? Techniques & Stack: • Hugging Face Transformers, spaCy • PyTorch, FastAPI, Docker • Model quantization & batching • SQL-backed logging & metrics ? Relevant Projects: 1️⃣ Low-Resource Language Tutor NLP Engine 2️⃣ AI Grading & Summarisation System for Education SaaS ? Why I’m a Fit: • Proven 85%+ accuracy delivery on custom datasets • Experience with education-focused NLP • I can show demo models, APIs, and evaluation code Let’s review the repo, align benchmarks, and lock the deal—I’m ready to integrate immediately.

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have experience in developing NLP solutions with a focus on low-resource languages like Azerbaijani. My expertise includes fine-tuning natural language models for conversational Q&A, sentiment analysis, and topic summarization in Azerbaijani. Additionally, I have implemented intent detection and adaptive responses based on user interactions.

@teodorgeorge

Hello, I’m excited about your project to build an Azerbaijani NLP Tutor to enrich the local education system. I have experience developing and fine-tuning language models for conversational AI that handle Q&A, grading, and summarization, especially in less widely supported languages. I understand the importance of intent detection and sentiment analysis to tailor responses dynamically to students' needs. I can integrate the model into your existing Python FastAPI backend and ensure it runs efficiently with low latency on commodity GPUs like the T4. I will also provide evaluation scripts and benchmark datasets to monitor performance over time, ensuring your accuracy targets and deployment requirements are met. Thanks, Teo

@techsty2014

Hello, I'm excited about the opportunity to enhance YapayAITeach with a robust Azerbaijani NLP layer. With extensive experience in NLP, particularly in low-resource languages, I can develop a language model for conversational Q&A, grading, and summarization in Azerbaycanca. I’ll implement intent detection and sentiment analysis to tailor the tutor's responses effectively. I'll leverage tools like Hugging Face Transformers and spaCy to ensure the model is efficient and deployable on commodity GPUs. The model will be packaged behind a REST or GraphQL API for seamless integration with your React front-end, ensuring minimal latency. Questions: • Are there specific curriculum topics that need prioritization in the language model? • Would you prefer any specific framework for API development beyond FastAPI? I'm committed to achieving at least 85% accuracy and sub-800 ms response times. I'll provide a clear deployment guide and a Docker compose file for streamlined integration. Looking forward to bringing this to life with you. Thanks and best regards, Faizan

@xuezhe315

Hello, For YapayAITeach, the core challenge is not generic NLP, but linguistic depth and reliability in Azerbaijani within real classroom constraints. I would treat Azerbaycanca as a first-class language, not a translated afterthought, and design the language layer accordingly. How I would approach this project 1. Model strategy (Azerbaijani-first) 2. Intent detection & sentiment adaptation 3. API & performance 4. Evaluation & benchmarks 5. Deployment & handover Dockerized service with: One-click docker-compose setup Clear documentation covering training, inference, evaluation, and scaling. If you share the current FastAPI codebase and corpus, I can integrate directly and move quickly toward a usable, measurable language layer for YapayAITeach.

@trm66614

Hi there, Good evening I am Talha. I have read you project details i saw you need help with AI Development, Java, REST API, FastAPI, Deep Learning, Translation, GraphQL, C# Programming, Software Architecture and SQL I am excited to submit my proposal for your project, which focuses on a comprehensive project plan. To begin, we will thoroughly understand your project's objectives and requirements, ensuring alignment on scope and goals. We will provide a clear and realistic project timeline with manageable milestones to ensure timely completion Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@kuafu

I am excited to work on this project! With my expertise, I can deliver high-quality results within the specified timeframe. I have successfully completed similar projects and am confident I can meet all your requirements. I will provide regular updates and ensure clear communication throughout the project. Looking forward to collaborating with you!

@mykhaylob4

✋ Hi there. I can develop a robust Azerbaijani NLP layer for your YapayAITeach platform, enabling conversational Q&A, short-answer grading, and adaptive topic summarization with high accuracy and low latency. ✔️ I have strong experience building NLP models in low-resource languages using Hugging Face Transformers, spaCy, and custom pipelines. Previously, I developed a multilingual educational assistant that handled question answering, intent detection, and sentiment-adaptive explanations, achieving over 85% accuracy on student comprehension datasets. ✔️ For your project, I will fine-tune a model on your Azerbaijani curriculum corpus, implement intent and sentiment detection, and expose the functionality via a REST API compatible with your React front-end. I’ll optimize the system for T4-class GPUs to keep average response times under 800 ms. ✔️ I will also provide evaluation scripts, benchmark datasets, and a clear deployment workflow, including a one-click Docker Compose setup for seamless integration into your existing environment. Let’s chat to discuss dataset preparation, model architecture, and deployment timeline. Best regards, Mykhaylo

@volodymyrkoval

Hi, I'm excited about the opportunity to contribute to YapayAITeach. With over 10 years of experience in Natural Language Processing and a strong background in AI development, I can craft the robust Azerbaijani language layer your project needs. I have successfully implemented conversational AI models and REST APIs using Python and FastAPI, ensuring minimal latency for user interactions. I will also provide evaluation scripts and benchmarking datasets to track the model's accuracy over time, and I'm comfortable using Hugging Face Transformers or spaCy to optimize performance. Let's discuss your timeline for deployment and any specific details you have in mind.

@Web1devloper

With over 8 years of experience in app and web development, paired with current expertise in GraphQL and REST API development, I am perfectly suited for your project. Having worked with cutting-edge technologies like Python, FastAPI, and utilizing GPU power ensures that I can not only train and fine-tune a natural language model but also deliver on the stringent performance requirements you've outlined - such as response time and runtime scalability. Throughout my career, I have consistently delivered effective solutions by leveraging standard toolkits like Hugging Face Transformers, which aligns perfectly with your project's criterion. More importantly, my proficiency extends to working with low-resource languages, which will prove invaluable for crafting a robust language layer that truly understands and responds in Azerbaycanca for your learning companion platform. I assure you meticulousness in maintaining an accuracy rate of at least 85%, API deployment within milliseconds, and a clear deployment guide inclusive of a one-click Docker Compose file. My strategies not only promise high quality results but also efficient maintenance and seamless integration into your existing codebase.

@Prashantk247

# 9 years experience in Teaching NLP to International students (Check my freelancer.com profile reviews) Hello sir ! Happy to tell you that I already did this kind of multiple tutoring jobs and you can check my freelancer.com profile reviews Let me tell you, if you need want tutor in any domain like Chess tutoring, Full Stack Website Development and Design, App development, Automation, Al / ML related works, Graphics design, social media marketing, research and much more, just let me know. With 9 years of experience in Tutoring NLP to International students,I am ready to start teaching now onwards. Best regards, Prashant Kumar

@novatech2210

Dear Shahin, I'm impressed by your innovative approach to creating a personalized learning experience with YapayAITeach, and I'm excited to help elevate the conversational AI layer. Just wrapped up a similar NLP-focused project for a client, building a robust language understanding model that integrates with a React front-end. We’re the perfect fit for your mission. I specialize in crafting clean and effective NLP solutions using Hugging Face Transformers, spaCy, and other cutting-edge toolkits. My expertise includes intent detection, sentiment analysis, and conversational Q&A systems, all optimized for commodity GPUs. Multiple 5-star reviews on complex NLP projects and low-resource language deployments give me the confidence to take on your challenge. I'm happy to jump on a quick call to discuss your YapayAITeach setup, and even offer a free consultation if we decide to move forward. Chris | Lead Developer | Novatech

@Joejoe777

Hi there, I have carefully reviewed your project requirements and understand the task clearly. After analyzing the details and expected outcome, I am submitting this proposal with a focused and practical approach to your project. To enhance YapayAITeach with robust Azerbaijani NLP capabilities, I propose to: 1. Develop a natural-language model for conversational Q&A, short-answer grading, and topic summarization in Azerbaijani. 2. Incorporate intent detection and basic sentiment analysis to personalize the tutor's responses based on student mood and performance. 3. Create a simple REST or GraphQL API for seamless integration with the existing React front-end. 4. Provide evaluation scripts and benchmark datasets to monitor accuracy and performance. For the technical implementation, I will leverage tools like Hugging Face Transformers and FastAPI, ensuring compatibility with commodity GPUs. The acceptance criteria of exceeding 85% accuracy, response times under 800 ms on a T4 GPU, and a clear deployment guide will be met. Let's discuss in detail through chat.

@dorians2

Hi there, I have 7+ years of experience in Software Architecture, FastAPI, SQL and can deliver a clean, reliable solution for your project. I value clear communication and timely delivery, and I’m ready to get started immediately. Let’s connect and discuss your goals. Best regards, Dorian

@mayankinnovative

Hello, LIMITED AZERBAIJANI LANGUAGE UNDERSTANDING AND INTERACTION QUALITY Your Azerbaijani NLP Tutor AIC project needs an NLP system that truly understands Azerbaijani nuances, grammar, and conversational patterns. Without a model and processing pipeline tailored for Azerbaijani text, the tutor may provide inaccurate responses, misinterpret user intents, and fail to deliver a natural learning experience. AZERBAIJANI-FOCUSED NLP TUTOR DEVELOPMENT I will develop your NLP tutor using custom-trained language models and NLP pipelines specialised for Azerbaijani. This includes building intent recognition, context-aware response generation, error correction feedback, and structured dialogue flows that support learning. I will integrate it with your chosen interface (web or app) and ensure fast, accurate response generation with proper handling of user inputs. ENGAGING AND ACCURATE AZERBAIJANI LEARNING INTERACTIONS The result will be a responsive and intelligent Azerbaijani NLP tutor that communicates naturally, understands user queries accurately, and provides meaningful feedback to learners. Users will enjoy an engaging, educational experience that supports effective language practice. Thank you ```0