I'm seeking assistance to implement an existing natural language processing model for my final year project, specifically in the domain of sentiment analysis. Requirements: - Expertise in deep learning and NLP - Experience with frameworks like TensorFlow or PyTorch - Familiarity with sentiment analysis techniques and datasets - Ability to document the implementation process and resul...sentiment analysis. Requirements: - Expertise in deep learning and NLP - Experience with frameworks like TensorFlow or PyTorch - Familiarity with sentiment analysis techniques and datasets - Ability to document the implementation process and results Ideal Skills: - Strong programming skills in Python - Background in data preprocessing and model evaluation - Knowledge of current NLP models (e.g., ...
from the info in chat a layout and wiring diagram
I'm a beginner in deep learning looking for a tutor. I want to understand concepts and work on practical projects. Key Areas: BERT CNN BiLSTM Project Focus: Security Ideal Skills: Strong deep learning background Experience with BERT, CNN, BiLSTM Knowledge in security applications Experience with extracting and preparing data from GitHub repositories
dibutuhkan seorang programer untuk membuatkan sebuah program machine learning dengan bahasa python untuk klasifikasi aspek dan sentimen dengan ketentuan berikut: 1. Gunakan Bahasa Python pada Google Colabs 2. Spliting data menggunakan k-fold CV 3. Pembuatan Model dengan IndoBERT 4. Melakukan Klasifikasi Aspek dan Sentimen 5. Melakukan Pengujian dan Evaluasi
...Cross-Platform Applications: - Web Application (React.js): Advanced dashboards, admin panel, charting tools, and live AI chat assistant. - Mobile Application (Flutter): Feature parity with the web app, real-time alerts, RTL support for Arabic. - Desktop Application (): Offline access, local caching, and trading integrations. 2. AI-Driven Capabilities: - Predictive models (LSTM, BERT) for stock price forecasting. - Sentiment analysis of financial news and social media data. - Portfolio optimization tools with AI-generated recommendations. 3. User-Centric Features: - Multilingual support with Arabic localization. - Customizable dashboards and alerts. - Educational resources for traders. 4. Backend Infrastructure & Documentation: - Scalable backe...
...Generative Pre-trained Transformer (GPT) is a real plus. * Speak Portuguese and/or French. Technical Knowledge * Mandatory: Architecture design, C# .NET, Azure PaaS offerings (APIM, Functions, Web Apps, Storage), Azure Cognitive Services (Azure AI search, OCR, or Vision...), Azure DevOps Pipelines or equivalent. * Nice to have: Azure OpenAI, Azure Data Factory (ADF), Generative AI LLMs (GPT-4, BERT, LLaMA, Mistral) * Certifications: (AZ-900, AZ-204, AZ-300, AZ-400, DP-900, AI-102…)....
...theoretical underpinnings and practical deployment aspects of modern AI systems. You will help develop high-quality technical content, organise mathematical formulations, and design academic illustrations that align with IEEE/Elsevier standards. Key Responsibilities: Writing technically accurate and original academic content on: • CNN architectures and optimisation • Transformer models (e.g., BERT, Vision Transformers) • ML model deployment on cloud platforms (AWS, GCP, Azure) • Assisting with mathematical equations and proofs relevant to the paper. • Creating clear, publication-ready diagrams and visualisations (model architecture, flowcharts, etc.). • Formatting the document using LaTeX or Overleaf to meet journal/conference standards. &b...
...materiales eléctricos (SKU, unidad, cantidad). Generar una lista de materiales exportable en Excel o PDF. Exponer todo como un backend con API (preferiblemente Django REST) que pueda conectarse a un frontend Vue.js (ya existe). # Stack de referencia Backend: Django REST Framework Frontend: Vue.js (ya implementado) Visión por Computadora: YOLOv8, OpenCV OCR: Tesseract OCR o EasyOCR NLP: spaCy, BERT (Transformers) Almacenamiento: PostgreSQL Exportación: Excel - Obligatorio: Experiencia comprobada en proyectos de: Detección de elementos en planos (iconografía técnica o blueprint analysis). OCR con planos escaneados (Tesseract, EasyOCR). Visión por computadora: YOLOv8, OpenCV, PyTorch. NLP para extracción de entidad...
...materiales eléctricos (SKU, unidad, cantidad). Generar una lista de materiales exportable en Excel o PDF. Exponer todo como un backend con API (preferiblemente Django REST) que pueda conectarse a un frontend Vue.js (ya existe). # Stack de referencia Backend: Django REST Framework Frontend: Vue.js (ya implementado) Visión por Computadora: YOLOv8, OpenCV OCR: Tesseract OCR o EasyOCR NLP: spaCy, BERT (Transformers) Almacenamiento: PostgreSQL Exportación: Excel - Obligatorio: Experiencia comprobada en proyectos de: Detección de elementos en planos (iconografía técnica o blueprint analysis). OCR con planos escaneados (Tesseract, EasyOCR). Visión por computadora: YOLOv8, OpenCV, PyTorch. NLP para extracción de entidad...
...schedules, hotel inventories, pricing, etc. ________________________________________ PHASE 4: AI INTEGRATION 1. AI Features to Build: Feature AI Component Tech Stack Chatbot NLP + Travel context OpenAI API, Rasa, LangChain Dynamic Pricing Predictive Modeling Python, Scikit-learn Personalized Recommendations Collaborative Filtering TensorFlow or PyTorch Smart Search Semantic search / NLP Elasticsearch + BERT Fraud Detection Anomaly Detection PyOD, Isolation Forest Language Translation NMT (Neural Machine Translation) OpenAI, Google Cloud Translation ________________________________________ PHASE 5: KEY COMPONENTS TO DEVELOP 1. Flight Booking Engine • Auto-suggest for airports • Date filters, multi-city support • Live price feed • AI-predicted best time to boo...
...storage (AWS S3, Google Cloud Storage) or a database (MongoDB, PostgreSQL). 2.4. Schedule data collection Use cron jobs, AWS Lambda, or Google Cloud Scheduler to automate fetching (daily/hourly). 3. Implement Trend Analysis Micro-steps: 3.1. Preprocess data Clean text: remove spam, duplicates, irrelevant info using spaCy or NLTK. 3.2. Extract keywords and topics Use NLP models like GPT, BERT, or RAKE for keyphrase mining. 3.3. Detect trending keywords Apply Time Series analysis and spike detection algorithms (Prophet, custom Python scripts). 3.4. Conduct sentiment analysis Use VADER, TextBlob, or GPT fine-tuned models. 3.5. Rank trends Calculate trend velocity, engagement, and sentiment scores. 3.6. Automate analysis pipeline Use Airflow or Prefect s...
I will be using more advanced and modern methods for this task like neural networks, BERT, transformer etc.
I need an experienced NLP Specialist to develop a weighted text classification dictionary from an existing qualitative model based on academic research in sociology. Key Tasks: - Develop a weighted classification model from an existing qualitative framework of themes and subthemes. - Use machine learning to train a BERT model for nuanced text classification. - Deliver Python code to apply the trained model on a large unstructured dataset. Ideal Skills: - Strong understanding of NLP and transformer models - Proficient in Python with practical implementation experience - Background in social sciences, particularly sociology or political sicence, is a plus Looking for someone who can deliver high-quality, efficient, and reliable results.
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...content. - Alert users with a message when it can't find a relevant answer. - Format answers in HTML with basic styling. Requirements: - Use ASP.NET MVC / Core (C#) for the web interface - Connect to an existing MSSQL database with an data as. HTML text in a table - Extract and clean text from the HTML Content column - Tokenize and generate embeddings using a local ONNX model (e.g., MiniLM or BERT) - Perform cosine similarity search to match queries with the SMS content - Provide a chat-style front-end (HTML/JS/jQuery) showing the Q&A flow - All logic and AI must run offline (no OpenAI, Azure, or internet calls) Deliverables: 1. A working prototype with source code (ASP.NET project) 2. Embedded ONNX model and tokenizer (or instructions to include it) 3. SQL schema fo...
...words in a given text. The app should leverage deep learning models to reconstruct or infer obscured words, enhancing readability and meaning. The user interface should be built using Streamlit for seamless interaction. Requirements: Develop an intuitive Streamlit UI for inputting text and generating unmasked predictions Implement state-of-the-art NLP models for masked word prediction (e.g., BERT, T5, RoBERTa) Provide highly accurate word predictions for missing or masked text Ensure real-time processing with optimized performance Offer download/export options for processed results Skills Needed: Proficient in Python Experience with Streamlit Strong understanding of NLP & masked word prediction models Knowledge of Hugging Face Transformers, spaCy, NLTK Ability to ...
I'm seeking a skilled Python developer to create a question answering application using Natural Language Processing (NLP) and Streamlit. Key Requirements: - Streamlit UI: Develop an intuitive interface with a text...input field. - NLP Model: Implement T5 or similar state-of-the-art models for reading comprehension. - Performance: Ensure fast, accurate responses and optimize for real-time processing. - Document Upload: Integrate a feature for users to upload documents (PDF, Word, Text) for analysis. Ideal Skills & Experience: - Proficiency in Python and Streamlit - Expertise in NLP and experience with T5, BERT, or GPT models - Strong background in UI/UX design for web applications - Experience with performance optimization for machine learning applications Looking fo...
I'm seeking a detailed theoretical report on text summarization, specifically using NLP and LLMs, for my master's thesis. The report should cover: - Focus on Text Summarization - In-depth discussion on: - Algorithms and Techniques - Applications and Use Cases - Challenges and Limitations - Prefer focus on BERT and Pegasus models Ideal skills and experience: - Expertise in NLP and LLMs - Strong understanding of BERT and Pegasus - Academic writing experience, especially at master's level - Ability to create comprehensive, well-structured reports The final output should be around 40 pages.
I need a BERT model expert for Named Entity Recognition (NER) tasks. The project involves fine-tuning the BERT model on a raw, unannotated text dataset that I will provide. Key Requirements: - Proficiency in BERT and NER tasks - Experience working with raw text datasets - Skills in machine learning, NLP, Python and relevant libraries (like PyTorch, TensorFlow) The main task is to prepare the model to identify and classify entities within the text. The project requires a deep understanding of the intricacies of NER and the capabilities of the BERT model. The freelancer will need to implement effective strategies to fine-tune the model, ensuring it can accurately identify entities in a variety of contexts and text types. Please note that the dataset will need...
...Tick-level backtests using 2003–2025 data Parallel strategy testing via VectorBT + Backtrader Strategy learning from live FIX feed (Online RL) Black Swan events included in simulation 4.5 Market Analysis & Data Feeds Real-time Level-2 Order Book via FIX Dark Pool detection via clustering and pattern recognition Sentiment Analysis via: Twitter API, News API, Bloomberg RSS Hugging Face (BERT, FinBERT) for NLP --- 5. Execution Flow Python (AI Logic) signal = (current_market_state) if signal == 'buy': send_order_to_cpp("BUY", symbol, size, sl, tp) elif signal == 'hedge': send_hedge_order("SELL", correlated_asset, size) C++ (FIX Layer) Builds FIX NewOrderSingle message Sends via QuickFIX to IC Markets Recei...
...Features: - Smart AI integration to auto-detect a user's preferred language and switch instantly. - Cultural customization that reflects regional slang, tone, and festive themes based on location and calendar. - Aesthetic rendering of regional scripts, moving beyond simple translation. On the backend, we need a robust language AI engine. This would involve: - Training with models like spaCy, IndicNLP, BERT + LoRA on low-resource languages. - Prioritizing understanding of user-intent, context, and sentiment over literal translation. - Eventually providing an API or SDK for major e-commerce platforms such as Flipkart, Amazon, Meesho, Udaan, etc. The ideal candidate for this project should have: - Proven experience in e-commerce platform development. - Strong AI and language ...
CVSS v4.0 Prediction Model Using BERT – Project Description This project aims to build a multi-label classification model that predicts the CVSS (Common Vulnerability Scoring System) Version 4.0 base metric values from textual vulnerability descriptions. The model leverages the power of BERT (Bidirectional Encoder Representations from Transformers) to understand and classify security-related texts. Key Features: Input: A vulnerability description in natural language. Output: Predicted values for the 11 base metrics defined in CVSS v4.0: Attack Vector (AV) Attack Complexity (AC) Attack Requirements (AT) Privileges Required (PR) User Interaction (UI) Vulnerability Confidentiality (VC) Vulnerability Integrity (VI) Vulnerability Availability (VA) System Scope (...
...keyword extraction. ? Project Structure 1. Folder Monitoring Module () Tech: Python watchdog library. Task: Detect new CSV files in a specified folder. Output: Trigger processing pipeline for new files. 2. CSV Preprocessor () Tasks: Standardize metadata (add timestamps, source URLs). Split text into 300-512 token chunks (for BERT model limits). Extract legal act IDs (e.g., "Dz.U. 2023 poz. 123") using regex. 3. Keyword Analyzer () Tech: HuggingFace Transformers + HerBERT/LegalBERT. Process: Search for HORECA_KEYWORDS (Polish terms like gastronomia, nocleg). For each keyword, extract 3-5 surrounding sentences as context. Use NLP model to generate Polish-language
...highly preferred ESM3.0 because few people use it to do protein post-translational modification site prediction; using this novel model will benefit our publication. 3. Compare this model with existing models (for example, DNNACE, MSTL-Kac, BERT-Kcr, DeepKla et al.), and make sure this model's performance is comparable with other published models. 4. Help us in writing the research paper (this model is part of our research paper). What you need to deliver: code of this model graphs of this training models (See below graph for our BERT-based constructed models) paramenters of this model (Eg. ACC, SEN, SPE, F1, AUROC et al) of this model. 5.A short statement of how you trained the model and how you refine the model and why this model is good to be
...through the website. Collect initial client inquiries (name, email, query details) with consent. Analyze client interactions to identify serious potential clients (e.g., based on query frequency or specificity). Send me daily/weekly reports via email summarizing client requests and interactions. Interface: Simple, user-friendly chat window. Tech Suggestions: Use NLP models (e.g., GPT, BERT, or LLaMA) with Python backend and API integration. Contact Features: Easily accessible contact info (phone, email, address). User-friendly contact forms for inquiries and service requests. About Us Page: A section with our mission, values, and expertise. Optional: Space for team profiles (to be added later). Security: Secure hosting with SSL certificate. Basic pr...
I'm seeking a data scientist with expertise in bioinformatics and deep learning to create a model predicting protein acetylation sites. This model will utilize protein acetylation data, large language models (ESM or BERT for feature encoding), and deep learning networks (Bi-LSTM for feature decoding). We have constructed a primary model (based on BERT-small feature encoding and Bi-LSTM-TCN learning) to predict the acetylation sites based on input protein sequences, however the AUROC ( 0.7) ,ACC (0.65) and MCC (0.38) are not satisfied. Expertises are expected to improve the AUROC,SPE, SEN, ACC and MCC of this model. Key tasks include: - Training the model with a comprehensive set of protein sequences and their corresponding acetylation modification sites. - Employing d...
I need a seasoned developer to help me debug and run a GitHub project called UTrack on my Windows machine. This project analyzes tweets for stress, anxiety, and loneliness using Python, Streamlit, BERT, Tweepy API, and TensorFlow. Tasks: • Fix errors and ensure smooth execution. • Set up dependencies and environment on my local machine. • Ensure the Streamlit UI runs properly. • Provide guidance on running and maintaining the project. Skills and Experience: • Strong expertise in Python, NLP, Streamlit, and TensorFlow. • Previous experience with similar projects. • Ability to work with Windows OS. • Proficiency in setting up Python environments and dependencies. • Good communication skills for providing guidance. Currently, I have some...
Project Brief for BERT Consultant 1. Project Objective Develop a custom Automated Video Interview (AVI) model that evaluates candidates' personality traits (e.g., Big Five Personality traits) and competencies using advanced machine learning and natural language processing (NLP) techniques. The tool should streamline candidate assessment by analyzing verbal, paraverbal, and nonverbal cues from video interviews. --- 2. Scope of Work The consultant will handle the following: 1. Feature Engineering: Extract and analyze: Verbal Features: Words, phrases, sentiment, tone. Paraverbal Features: Pitch, pace, and cadence of speech. Nonverbal Features: Facial expressions, head movements, and gestures (if applicable). Incorporate NLP techniques like BERT or RoBERTa for te...
I'm seeking a professional with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to provide a comprehensive description of various architectures. The key architectures to be included are: - Transformer models(Chat gpt, BERT..etc) - Recurrent Neural Networks (RNNs) - Convolutional Neural Networks (CNNs) - Generative Adversarial Networks (GANs) -Generative AI -Training and testing llm models The explanation should be tailored for an expert audience, using technical language and concepts that are familiar to seasoned professionals in the field. The content should be thorough and precise, covering the intricacies of each architecture, their strengths and weaknesses, and their applications within NLP and LLMs. Ideal candidates for this project...
I need a tool to track student moods in distance learning by checking their faces and words in real-time. Here’s what I’m after: Use Vision Transformers (ViT) to catch emotions from faces in video. Use OpenCV to spot faces in those videos. Add Speech-to-Text to turn student audio into text. Use BERT to analyze if their text is positive, negative, or neutral (sentiment). Build it with Python. Make a simple frontend in Python (Flask preferred) to show mood results. Store data in MySQL.
...student engagement in distance learning using facial expression recognition and natural language processing (NLP) with sentiment analysis. Among them, one of the significant issues as online education progresses is the monitoring and enhancement of student engagement in real-time. The proposed system incorporates Vision Transformers (ViT) for recognizing emotions based on facial expressions and BERT-based models for recognizing sentiment from the written and spoken responses of students. Whereas facial expressions and head movements are detected by analyzing the video content, the engagement level is determined based on textual inputs and serves as a complement to the video analysis by offering a more bottom-up approach. Thus, this dual-modality approach can enhance the learning-...
...student engagement in distance learning using facial expression recognition and natural language processing (NLP) with sentiment analysis. Among them, one of the significant issues as online education progresses is the monitoring and enhancement of student engagement in real-time. The proposed system incorporates Vision Transformers (ViT) for recognizing emotions based on facial expressions and BERT-based models for recognizing sentiment from the written and spoken responses of students. Whereas facial expressions and head movements are detected by analyzing the video content, the engagement level is determined based on textual inputs and serves as a complement to the video analysis by offering a more bottom-up approach. Thus, this dual-modality approach can enhance the learning-...
...Training We are looking for an experienced AI/ML Engineer to train a sentiment analysis LLM model capable of detecting various sentiment categories, including: ✅ Hate Speech ✅ Offensive Language ✅ Harassment ✅ Threats ✅ And more nuanced sentiment categories ? Requirements: ? Passion for NLP, Deep Learning, and Large Language Models ? Familiarity with transformers, fine-tuning LLMs (Llama, GPT, BERT, etc.) ? Proficiency in Python, PyTorch/TensorFlow, Hugging Face ? Ability to work with large-scale labeled datasets ? Strong focus on achieving the highest possible accuracy ? Responsibilities: ? Collect & preprocess diverse datasets for sentiment classification in English Language ? Fine-tune or train a custom LLM model for multi-category sentiment detection ? Implement real-...
...API access is limited). ✅ Store and analyze **historical data** for AI-based predictions. ✅ Process data efficiently to enable **low-latency decision-making**. ### **2️⃣ AI-Powered Decision Engine** ✅ **Machine Learning Models** for financial trend prediction (LSTM, XGBoost, Transformer models). ✅ **Reinforcement Learning** for real-time strategy optimization. ✅ **Sentiment Analysis (BERT, GPT)** to analyze financial news and market sentiment. ✅ **Risk Management System** with **dynamic stop-loss and position sizing**. ### **3️⃣ Automated Execution & Risk Management** ✅ **Automated transactions** based on AI-driven signals. ✅ **Order placement and session management** via API integration. ✅ **Diversification & Strategy Improvement** – AI dyna...
I'm looking for a skilled data scientist to train Bert based on text classification using a bulk of PDF documents. Key Responsibilities: - Provide required coding to train Bert - Write codes to execute a series of textual analysis (e.g., sentiment analysis, specific sentence identification) - Model hyperparameters sets - performance analysis (including ensuring fine tuning. - Evaluation of trained Bert and baseline models Ideal Skills: - Proficiency in advanced machine learning - Strong statistical skills - Prior experience with training Bert
...Optimize for Speed: o Ensure the app is fast and responsive, with low latency for real-time queries. o Use caching and other optimization techniques. 6. Deploy the App: o Deploy the app on a cloud platform (e.g., AWS, Google Cloud, Azure). o Ensure scalability and reliability. ________________________________________ Requirements: 1. Technical Skills: o Strong experience with LLMs (e.g., LLaMA 2, GPT, BERT) and fine-tuning. o Proficiency in Python and frameworks like Hugging Face Transformers, PyTorch, or TensorFlow. o Experience with web scraping and API integration. o Familiarity with front-end development (React, Vue.js, or similar). o Knowledge of database integration (PostgreSQL, MongoDB, etc.). o Experience with cloud deployment (AWS, Google Cloud, Azure). 2. Soft Skills: o...
...internal product SKUs and creation of sales orders in ERP/ analytics to flag potential order :PO parsing and mapping sales order creation connectors/APIs for ERP/CRM , unit tests, and user guides. Module 3: Email Classification & SortingFeatures:NLP-based categorization (using models like BERT or similar) for email sorting, labeling, and routing based on auto-response templates and escalation alerts for urgent on email traffic and classification :Functional email classifier and sorting with email APIs (Gmail API, Microsoft Graph API) or IMAP/POP3 rules and settings
I am looking for an experienced Machine Learning Engineer to upgrade my fake review detection system with a strong focus on Explainable AI (XAI). The existing system is developed in Google Colab, using classical ML, LSTM, and BERT for review classification. While fake review detection is already implemented, the goal of this project is to introduce novel AI approaches that improve interpretability, transparency, and trust in predictions. The final system must be deployed as a simple website or a browser extension for real-world usability. This project must be completed within 4 days, so I need someone with expertise in ML, XAI, cloud deployment, and real-time data handling. I am also open to incorporating new and trending AI techniques that add uniqueness to the project. Project S...
Objective: Develop an AI system that generates a doctor’s CV from transcribed interview conversations. Extract key details (education, experience, skills, certifications) using Named Entity Recognition (NER) and BERT-based text classification. Map the extracted information to a predefined CV template. Output: Generate the doctor’s CV in both text and PDF formats.
...Google Workspace, Zoho Mail), and ensure SSL certificates for secure connections. • Monitoring & Reporting: • Integrate reporting tools like Grafana, Allure, and Testmo to display test results, metrics, and dashboards. • Security: • Implement SSL, OAuth, and JWT for secure user authentication and communication. Tech Stack: • AI/ML: Python, TensorFlow/PyTorch, NLP models (Hugging Face, GPT-3, BERT) • Automation: Playwright, Selenium, GitHub Actions • Frontend: HTML5, CSS3, JavaScript, React.js or Vue.js • Backend: Node.js, , Python (Flask/Django) • Database: PostgreSQL/MySQL, MongoDB • Web Hosting: Vercel, Firebase, Netlify • Version Control: Git, GitHub • Cloud Infrastructure: GCP, AWS, Azure • Mon...
...experience). 3. ATS Optimization (Basic) • Integrate BERT or TF-IDF models to ensure resume formatting is ATS-friendly. 4. Cover Letter Generation (Optional for MVP) • Basic functionality to generate cover letters based on job descriptions (can be scoped down for MVP). 5. Multi-Platform Support (Android, iOS, Web) • Build mobile apps (using React Native/Expo) and a web app (using React.js/Next.js). 6. User Dashboard & History (Basic) • Provide users with a simple dashboard to view, edit, and download previous resumes. Skills Needed: • Experience with React Native (for mobile apps) and (for web app) • Knowledge of FastAPI (Python) for backend/API development • Familiarity with OpenAI GPT-4 API and ATS optimization using BERT...
I'm looking for a skilled developer to integrate chatbot into my mobile app. The chatbot should support both iOS and Android platforms (Flutter App). Key Requirements: - Speech-to-Text (STT) - Convert voice meetings into structured notes - Text-to-Speech (TTS) - AI-g...AI-driven tagging and metadata assignment - Document OCR Processing - Extract text from images, PDFs, and handwritten notes - Chatbot Assistance - AI-driven research guidance and recommendations - Search & Retrieval - AI-powered semantic search for quick access - Cloud Backup & Sync - Secure storage and data synchronization Technology Stack Flutter/React Native (Mobile App) AI & NLP: OpenAI GPT, Google BERT, Whisper API, AWS Polly, Google Speech API Computer Vision: OpenCV, Google Vision API for do...
...Explain how sentiment scores are derived, contextual nuances are captured, and anomalies are flagged. • Outline how AI will handle multi-language sentiment analysis, especially for Arabic and English. 3. Mathematical Models & Formulas • Provide mathematical equations for sentiment scoring algorithms (e.g., NLP-based polarity detection). • Define text vectorization methods (TF-IDF, Word2Vec, BERT embeddings). • Describe how AI models classify emotions (e.g., anger, joy, sadness, etc.). 4. Algorithm Selection & Justification • Recommend the best machine learning (ML) and deep learning (DL) algorithms for different aspects of the system. • Justify why specific algorithms are chosen (e.g., LSTMs for time-series sentiment tracking, Transfo...
...individual labels. ? Hierarchical relationships are already established in the and GUI—your task is to transform them into a model-compatible format. ? Batching is already set up in the to group Full_Text labels with their children in order—please confirm it aligns with the training process. ? Ideal Skills & Experience: ? Experience with Hugging Face models (DeBERTa, BERT, or hierarchical transformers). ? Deep learning for text classification (PyTorch, TensorFlow). ? Handling hierarchical multi-label classification. ? Working with numerical normalization & structured label dependencies. ? Understanding how to train models that learn OCR correction dynamically. ? Experience integrating models into existing AI pipelines. ? Budget & Timeline ? Competitive...
...spaCy: A powerful NLP library for tasks like tokenization, part-of-speech tagging, named entity recognition, and dependency parsing. Essential for understanding and extracting information from text. NLTK (Natural Language Toolkit): Another popular NLP library, although often considered a bit more research-oriented than spaCy. Transformers (Hugging Face): Provides pre-trained language models (like BERT, GPT) that can be fine-tuned for specific tasks, such as resume summarization, skill extraction, and tailoring content to job descriptions. Machine Learning: Scikit-learn: A versatile library for machine learning algorithms (classification, regression, clustering, etc.). Useful for tasks like skill matching and identifying resume keywords. AI as a Service (AIaaS): OpenAI API: ...
I need a skilled machine learning expert to train, validate and test a sentiment analysis classification model using BERT, RoBERTa and ModernBERT on Google Cloud Platform (GCP). Key Requirements: - The model will be trained on a sample dataset containing approximately 300k records. - Input data will be provided in a CSV file format. - I have partially labeled data for training and validation, but assistance with labeling may be needed. - The outputs of the model should be shared in an Excel file. - Include detailed data preprocessing steps and techniques. - Define clear performance metrics for evaluating the model, such as accuracy, F1 score, precision, and recall. - Outline the approach for hyperparameter tuning to optimize model performance. - Describe techniques for handling im...
...with new AI frameworks and tools to continuously improve product capabilities. Collaboration & Communication: Work closely with cross-functional teams including data scientists, product managers, and UX/UI designers. Clearly document development processes, code, and architecture decisions. Required Skills and Qualifications: Proven experience in developing AI applications using LLMs (e.g., GPT, BERT, etc.) and generative AI frameworks. In-depth understanding of retrieval-augmented generation (RAG) and its practical applications. Strong programming skills in languages such as Python, and familiarity with relevant AI libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Experience with API development and integration (RESTful APIs, GraphQL, etc.). Ability to write...
...score based on experience, skills, and clarity. Identifies improvement areas. User Receives Feedback Detailed breakdown of strengths and weaknesses. Recommendations for enhancements. Final Resubmission (Optional) User can make changes and re-evaluate the CV. Improved CV increases hiring chances. 4. AI Model Selection & Implementation 4.1 Technology Stack NLP Libraries: SpaCy, NLTK, OpenAI GPT, BERT ML Frameworks: TensorFlow, PyTorch, Scikit-Learn Resume Parsing APIs: Affinda, Sovren, or custom-built Database: PostgreSQL / MongoDB for structured resume storage Hosting: AWS Lambda / Google Cloud Functions for scalability 4.2 AI Model Training Training Data: Large datasets of SDET resumes & job descriptions. Fine-Tuning: AI models trained with hiring data to understand rec...
I'm looking for a simple AI tool that will perform spelling correction based on BERT or another model. The tool should have a two-pane window - one pane for typing and the other for displaying the corrected words. It should be capable of processing complete sentences. Key Requirements: - Compatibility with either web or desktop platforms, specifically Windows operating system. - Experience with AI development and knowledge of BERT or similar models. - UI/UX skills to create a user-friendly interface. - Ability to make the tool function seamlessly with complete sentences. Programming Language: - The programming language or framework for this tool has not been specified. However, proficiency in Python, JavaScript, or Java would be beneficial. Ideal Candidates: - Shoul...
...semantic search and context-aware responses. Enable users to ask questions in natural language (e.g., English ), and retrieve precise answers from the dataset. Features: AI-driven insights: Provide summaries and detailed explanations based on user queries. Technology Stack: Open to frameworks like TensorFlow, PyTorch, Hugging Face, or any suitable AI/NLP toolkit. Use of advanced models such as GPT, BERT, or custom-trained models for Vedic texts. Deliverables: Fully functional question-answering system (web-based or standalone application). Codebase with proper documentation. User manual for operating the system. Ideal Candidate: Proven experience in AI/ML projects, especially NLP-based applications. Familiarity with ancient texts or experience working on similar datasets is a ...
