Context-Aware Voice AI Tuning

₹600-1500 INR

Færdiggjort

Slået op 14 dage siden

₹600-1500 INR

Betales ved levering

I’m upgrading the Voice AI inside my “Revise like a Teacher” app and need it to go beyond simple speech-to-text. The engine must pick up the learning context behind a student’s words, recognise references in previous-year exam questions or textbook passages, and then respond as naturally as a real teacher would. The core objective is therefore enhanced understanding of context; raw recognition accuracy and voice quality are already acceptable. You’ll be working with curriculum-heavy material, so domain-adapted language models, embeddings or custom transformers that can digest educational phrasing are welcome. Whisper, DeepSpeech, Kaldi, PyTorch- or TensorFlow-based pipelines are all fine as long as latency stays low for mid-range devices. To move forward I need a detailed project proposal rather than a generic CV. In it, outline: • Your plan for collecting / formatting training data drawn from textbook chapters and past exam papers • The fine-tuning methodology and evaluation metrics you’ll use to prove contextual comprehension gains • Expected training time, model sizes, deployment approach and any privacy safeguards Deliverables 1. Fine-tuned model or API ready for drop-in use inside the Flutter app 2. Demo that interprets a sample textbook section plus a set of past questions, then answers voice queries context-sensitively 3. README with clear setup and reproducible test instructions Once I can see a solid path to measurable context awareness, we’ll kick things off immediately.

Node.js

Mobile App Development

Python

Projekt-ID: 40264000

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10 forslag

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Aktiv 14 dage siden

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@Gilsaydith

Hello, I’ve carefully read your project details and fully understand what you’re looking for. I have completed similar projects successfully, which has given me strong experience in delivering high-quality results. My focus is always on accuracy, clear communication, and meeting deadlines without compromising quality. I pay close attention to every detail to ensure your project turns out exactly as you expect. You can count on me to manage the work professionally and efficiently from start to finish. I’m confident that if you give me the opportunity, I will deliver a perfect result that meets your goals. Let’s discuss your project further so I can get started right away. I look forward working with you.

₹3.000 INR på 1 dag

5,0

(7 anmeldelser)

3,8

10 freelancere byder i gennemsnit ₹1.245 INR på dette job

@abdullah1826

Hi, Context-Aware Voice AI Tuning "", We provide complete frontend to backend development with clean, scalable, and high-performance solutions tailored to your requirements. Our experienced team ensures modern UI/UX, secure architecture, smooth functionality, and full support until successful deployment. Let’s build a reliable and impactful product together. Regards, Muhammad Abdullah

₹1.050 INR på 7 dage

4,9

(49 anmeldelser)

7,1

@PyMLExpert1

As an experienced Python and Machine Learning Expert, I am confident that I possess the expertise required to deliver the "Context-Aware Voice AI Tuning" project you have described. I am well-versed in designing and deploying AI solutions, and have a firm grasp on the complexities of algorithmic design and large-scale data processing. These skills will be invaluable for fine-tuning your app's Voice AI. In order to meet your project's requirements, I plan to collect and format training data specifically tailored to educational contexts using textbook chapters and past exam papers. For the fine-tuning phase, I propose using a combination of Python-based frameworks such as TensorFlow or PyTorch to train models that will incorporate curriculum-specific language models, embeddings, or custom transformers for better contextual comprehension. I understand that latency is a key concern for your app, especially for mid-range devices. My experience in optimizing model sizes, training time, and even deployment approaches positions me well to address this issue. Lastly, privacy safeguards hold great importance in any data-driven application; rest assured, I will uphold the highest standards of data privacy and protection throughout the project lifecycle.

₹1.000 INR på 7 dage

0,0

(0 anmeldelser)

0,0

@silasn18

I am nganou silas,I have bachelor degree and also five years experience I know if you choose me for this job I will be the most experienced to do it thanks for your kind attention

₹1.050 INR på 7 dage

0,0

(0 anmeldelser)

0,0

@Wizztron

I recently delivered a project with this exact scope, enhancing AI to interpret educational context beyond simple speech-to-text. Your need for a seamless, integrated, and user-friendly Voice AI that understands curriculum-heavy material aligns perfectly with my approach. I leverage domain-adapted language models and custom transformers fine-tuned on curated textbook and exam data to ensure clean and professional contextual comprehension. While I am new to freelancer, I have tons of experience and have done other projects off site, specializing in low-latency PyTorch and TensorFlow pipelines optimized for mid-range devices. I would love to chat more about your project! Regards, MN Williams

₹1.150 INR på 14 dage

0,0

(0 anmeldelser)

0,0

@servicedigi

We can enhance your “Revise like a Teacher” app by fine-tuning a voice AI that not only transcribes but understands educational context and responds naturally. Here’s our proposed approach: 1. Data Collection & Formatting Aggregate structured content from textbook chapters, past exam papers, and teacher notes. Segment text into question-answer pairs, explanations, and contextual references. Convert all data into embeddings suitable for transformer-based models, ensuring consistency in formatting, tokenization, and domain-specific terminology. 2. Fine-Tuning Methodology Leverage pre-trained models (Whisper / DeepSpeech / PyTorch Transformers) as a base. Apply curriculum-aware embeddings to improve contextual understanding. Train using supervised fine-tuning on paired prompts and responses, with reinforcement learning on correctness and relevance. Evaluation metrics: BLEU/ROUGE for accuracy, semantic similarity for contextual comprehension, and response latency under 300ms for mid-range devices. 3. Deployment & Privacy All training & inference processes adhere to strict privacy standards; no sensitive student data stored permanently. Deliverables Fine-tuned model or API ready for Flutter integration. README with clear setup, usage, and testing instructions. Expected Timeline Fine-tuning & evaluation: 2–3 weeks Integration & demo: 1 week We ensure measurable improvement in context awareness while keeping latency low for real-time student interaction.

₹600 INR på 9 dage