Machine Learning (ML) Jobs

I’m ready to bring on an engineer who lives and breathes Natural Language Processing and can steer large-language-model projects all the way into production. You’ll be the point person refining, training, and deploying LLM pipelines, integrating them into real-world products, and hardening them for scale and reliability. Because the work is client-facing, I need you on Eastern Time, speaking English so clearly that video calls feel effortless for everyone in the room. Here are the practical details you should know before applying. I can only consider applicants physically based in India, Dubai, or Pakistan who can overlap a full EST workday. Your spoken English must be confident, natural, and close to a neutral American accent; daily stand-ups and ad-hoc solution-design calls ...

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I have the classic MNIST handwritten-digit dataset and I want to run a clean, well-documented K-Means clustering experiment on it. The specific objective is to group the images so that each cluster is represented by its medoid example, giving me an intuitive “prototype digit” for every group. Please set up the full pipeline: load the raw 28×28 pixel data, perform the K-Means algorithm, extract the medoid of each cluster, and visualise both the medoids and a sample of their nearest neighbours. Include a short quantitative evaluation (e.g., inertia, silhouette, or any metric you feel is appropriate for Euclidean K-Means on image data) and a brief discussion of cluster quality. Deliverables • A reproducible Jupyter notebook (Python, NumPy/SciPy, scikit-learn, Matplot...

I'm looking for an experienced LLM Engineer to help with a finance-related project using GPT architecture. Key Tasks: - Model Fine-tuning: Adapt the GPT model for our specific financial needs. - Data Preprocessing: Clean and prepare financial datasets for training. Ideal Skills and Experience: - Proficiency in working with GPT models. - Strong background in finance. - Experience in data preprocessing and model fine-tuning. - Familiarity with relevant programming languages (Python, etc.) and frameworks (TensorFlow, PyTorch). Please provide examples of past work and relevant qualifications.

Senior AI Engineer (Full-Stack) — Detailed Job Description Position: Senior AI Engineer (Full-Stack) Location: Remote 10 hours per day Experience Required: 5+ years Python engineering, 3+ years multi-agent systems Type: Contract ROLE SUMMARY We are seeking a highly experienced Senior AI Engineer to lead the development of production-grade multi-agent AI systems, backend services, LLM orchestration, and full-stack AI-driven product experiences. The ideal candidate possesses deep technical expertise across Python backends, multi-agent workflows, LLM integrations, RAG pipelines, multimodal processing, and frontend engineering. KEY RESPONSIBILITIES ● Design and implement scalable multi-agent architectures: supervisor patterns, orchestrators, shared memory/state, workflow dependencies, ch...

Bhai, kyunki tumhara project **"Pothole Detection using YOLOv8"** hai (jo shayad UAV/Drone ya Dashcam footage use karega), maine us generic description ko modify karke **Computer Vision aur AI project** ke hisaab se tailor kar diya hai. Ye raha tumhara updated version jo tum freelancer ya developer ko bhej sakte ho: *** ### **Project Title: End-to-End Development of an AI-Powered Pothole Detection System (YOLOv8)** I am looking for an experienced professional to help me build and launch a Computer Vision system for detecting potholes. I have the core concept based on the **YOLOv8 architecture**, but I need someone to take it from a raw model to a fully functional application. I need guidance on the best architecture—whether to build a web dashboard for analytics or a m...

I need a hands-on data scientist to design and implement a predictive analytics pipeline that segments our customers into meaningful groups. My raw material is customer data—demographics, behavioural events, transaction history—already available in CSV and easily exported from our CRM. Here’s what success looks like for me: • A clear data-cleaning and feature-engineering workflow in Python (Pandas, NumPy, scikit-learn preferred). • At least two clustering approaches (e.g., K-means and hierarchical) benchmarked with appropriate metrics such as silhouette score. • A concise Jupyter notebook explaining the methodology, hyper-parameter choices, and visualisations that make each segment easy to interpret for marketing teams. • A short summary slide...

I am looking for a freelancer to build a complete and reliable AI workflow to support my Medical Problem-Based Learning (PBL/BBL) studies. The freelancer may choose the most suitable tools. Examples of tools that can be used include ChatGPT, Perplexity, Notebook LM, Gemini, flashcard generators, or similar AI/automation tools. Requirements: The system must work autonomously, helping me learn even though I do not yet have all learning objectives defined in advance. • I will search for and identify the learning objectives progressively; the AI must analyse them and then research reliable sources. • The system must generate flashcards, summaries, mnemonics, quizzes, and appealing structured sub-notes based on the information it finds. • System must work in Portuguese. &b...

I need an AI-driven tool that can turn nothing more than a list of CSV column headers from banking-related financial data into a detailed risk assessment in under eight seconds. Paste the headers, hit “Run”, and the model should return an executive-ready report that flags key financial risks, quantifies their significance, explains the rationale, and suggests follow-up audit procedures. Scope • Input: CSV headers from banking datasets (balance sheet, P&L, GL extracts, etc.). • Processing: Large Language Model (GPT-4, Claude, or comparable open-source alternative) chained with a rules/ontology layer specific to banking audit standards (Basel, COSO, PCAOB). • Output: A comprehensive, well-structured risk analysis—no high-level summaries; I want ful...

I'm looking to develop an AI application that can generate comprehensive social media content for Instagram and WhatsApp. The AI should be capable of creating: - Text posts - Image posts - Video posts - Captions - Hashtags Ideal skills and experience: - Expertise in AI and machine learning - Experience in social media content creation - Familiarity with Instagram and WhatsApp algorithms and content formats - Strong programming skills, preferably in Python or similar languages - Prior experience in developing similar applications is a plus Please provide examples of previous work and a detailed approach to how you would tackle this project.

I need an experienced Python developer who can work on a Master’s AI thesis project. The work involves Machine Learning and Optimization Algorithms. No aviation knowledge is required. Tasks: • Preprocess and analyze traffic data • Build ML models (regression + clustering) • Implement optimization/metaheuristic algorithms (GA, SA, VNS, PSO, etc.) • Compare results before/after optimization • Provide documented Python code + visualizations Skills Required: • Python (NumPy, Pandas, Scikit-learn) • Metaheuristics or OR (GA, SA, Tabu, VNS, PSO, OR-Tools, Pyomo) • Clustering algorithms • Data visualization Deliverables: • Jupyter notebooks / Python scripts • Algorithm results and figures for thesis

I am putting together a control-system framework that runs entirely on an Nvidia RTX 3090 and centres on machine-learning workloads. The goal is a single, modular codebase able to orchestrate three specific tasks—image recognition, natural-language processing, and predictive analytics—while squeezing every ounce of performance the 3090’s CUDA cores and Tensor cores can provide. Core requirements • Modular architecture so each task (vision, NLP, forecasting) lives in its own plug-in or service yet can share common utilities such as data pipes, logging and GPU memory management. • Native GPU acceleration using CUDA 11.x (cuDNN, NCCL, TensorRT or comparable optimiser) with fall-backs abstracted cleanly for future upgrades. • Real-time inference endpoint...

I need a complete sports-betting prediction system powered by machine-learning techniques. The model must ingest and crunch every layer of performance data—individual player metrics, overall team statistics, and full historical game results—then output win-probability or spread forecasts that can be called programmatically. Here’s how I picture the workflow: • Data pipeline: automated collection and cleaning of player, team, and historical results from reliable public or paid feeds. • Feature engineering: transform raw stats into meaningful inputs (form trends, injury flags, home/away effects, etc.). • Model training & testing: build, tune, and validate one or more ML algorithms (e.g., gradient-boosted trees, neural networks). Solid cross-validati...

Project Title: Create a Simple Indian Sign Language Recognition Model for Words, Characters, and Numbers Project Description: I need a simple machine learning model that can recognize hand gestures representing Indian Sign Language (ISL). The model should recognize characters (A-Z), numbers (0-9), and some basic words (like hello, thank you, sorry, yes, no, love). Key Features: Character Detection (A-Z): Recognize hand gestures for all 26 alphabets. Number Recognition (0-9): Recognize hand gestures for digits 0-9. Word Recognition: Recognize common words in ISL (e.g., hello, thank you, sorry, yes, no). Real-Time Detection: Model should be able to process webcam video in real-time and recognize gestures quickly (under 100ms). Simple Output: The recognized gestures should be display...

### Job Title: Build MVP for AI-Powered Predictive Maintenance SaaS (RentPredict AI) - No-Code/Low-Code Focus **Project Overview:** We need a skilled freelancer to rapidly prototype an MVP for RentPredict AI, a SaaS tool targeting equipment rental companies in construction/manufacturing. The app integrates IoT sensor data with AI to predict equipment failures, send alerts, and automate rentals. Goal: Functional MVP in 1 week (part-time, ~20-30 hours) using no-code/low-code tools. This is a bold, opportunistic project with potential for ongoing work if successful. **Key Requirements & Deliverables:** - **Core Features to Build:** - IoT data ingestion: Simulate or integrate basic sensors (e.g., via AWS IoT free tier or mock data) for inputs like vibration, temperature, GPS. ...

Project Title: Build a Real-Time Indian Sign Language (ISL) Recognition Model in 1–2 Days (Words, Characters, Numbers) Project Description: I need a machine learning engineer to quickly develop a trained model capable of detecting Indian Sign Language (ISL) gestures, specifically words, characters (A-Z), and numbers (0-9), from live video input. The model should be capable of recognizing these gestures in real-time (within 100ms latency). Key Features: Character Detection (A–Z): Recognize hand gestures representing the 26 English alphabets in Indian Sign Language (ISL). Number Recognition (0–9): Recognize numbers represented in ISL (0–9). Word Recognition: Recognize common Indian Sign Language (ISL) words like hello, thank you, sorry, please, yes, no, love, y...

Project: AI-Powered Clause Evaluation + Q&A Tool (Python) I want an AI-powered tool built in Python that works with two data sources: 1. A CSV file containing player match data (minutes played, starts, appearances, competitions, seasons). 2. An Excel file containing performance-based contract clauses (e.g. “£10k bonus after 20 league games”). The goal is to use AI to help interpret and work with these contract clauses, then evaluate them against real performance data. ⸻ Task Your task is to: • Merge these two datasets • Evaluate every clause for every player • Determine whether each clause has been triggered • Calculate any financial payout Then export a final consolidated CSV showing: • the clause description • triggered st...

I have a concept for an “agentic” AI assistant—one that can understand a user’s goal, break it into actionable steps, execute each step autonomously, then report back with results. What I need is a technically minded collaborator to turn that concept into a functional proof-of-concept I can demo and iterate on. Project snapshot • Core idea: an LLM-driven agent that decides, plans, and acts on the user’s behalf, not just returns a single chat answer. • Tech is open: Python, Node, LangChain, AutoGPT, custom orchestration—use whichever stack you’re fastest with, provided it’s well-documented and easy for me to run locally. • Platforms are flexible right now; I simply need something I can test through a web interface or comm...

I need an AI-driven tool that can turn nothing more than a list of CSV column headers from banking-related financial data into a detailed risk assessment in under eight seconds. Paste the headers, hit “Run”, and the model should return an executive-ready report that flags key financial risks, quantifies their significance, explains the rationale, and suggests follow-up audit procedures. Scope • Input: CSV headers from banking datasets (balance sheet, P&L, GL extracts, etc.). • Processing: Large Language Model (GPT-4, Claude, or comparable open-source alternative) chained with a rules/ontology layer specific to banking audit standards (Basel, COSO, PCAOB). • Output: A comprehensive, well-structured risk analysis—no high-level summaries; I want ful...

I want a single AI system that can turn user prompts into both high-quality pictures and short videos, much like the latest diffusion and generative models on the market. The solution should accept plain-text input, process it through your chosen architecture or pipeline, and return crisp images as well as smooth, coherent video clips without a separate workflow for each format. I’m open to the framework you prefer—Stable Diffusion, GANs, transformer-based models, or a hybrid approach—so long as the final result is fast enough for real-time or near-real-time use and can be deployed behind an intuitive web or desktop interface. When you reply, show me relevant past work demonstrating image or video generation you’ve already shipped or researched. Links, demos, or r...

# Intelligent Indian Sign Language Recognition System (ISL-R) *A unified deep-learning system for real-time recognition of words, alphabets, and numbers in Indian Sign Language.* ## Abstract Communication for hearing or speech-impaired individuals relies on sign language. However, existing Indian Sign Language (ISL) systems mostly focus on alphabets or digits, leaving out common conversational words and mixed gestures. This project develops a real-time ISL recognition system that detects words, alphabets, and numbers from live video and converts them into coherent text or speech output. It supports mixed input sequences like: “I love you 3000” → “I” (alphabet) + “love” (word) + “you” (word) + “3000” (numbers). The system...

I’m looking for a Python-based data analyst/data scientist to help process and analyze motorsport telemetry data. The role focuses on data manipulation, math-based channel generation, anomaly checks, and producing clear Plotly visualizations. This is not a dashboard-building job—the work is task-based and processing-oriented. Motorsport or vehicle dynamics knowledge is a plus but not required. Example Types of Tasks (high-level): -Creating new calculated channels based on existing telemetry -Cleaning and correcting datasets using supporting channels -Detecting anomalies in time-series data -Identifying corner sections and driving phases -Combining datasets and aligning them -Comparing two datasets and highlighting key differences with Plotly Skills Needed: -Python (Pandas,...

I need an AI-powered solution that automates parts of my business workflow so that day-to-day decisions are driven by data, not guesswork. The focus is on process-level optimisation: pulling information from our existing systems, analysing it in real time, and surfacing clear recommendations or actions that my team can follow without manual number-crunching. Here is what success looks like for me: • A working model (Python, TensorFlow, or a comparable framework) trained on our historical operational data. • A lightweight interface or API that slots into our current tools and triggers the recommended action automatically or after human confirmation. • Clear documentation that explains the data pipeline, model logic, and how to retrain or fine-tune it when new data arrive...

Job Title: MAGIC AI – Official Model Trainer Status: Contract (with opportunity for long-term collaboration) Compensation: $200 competition prize $400 official trainer contract Public credit on MAGIC GitHub & HuggingFace repositories (MAGIC + MageV1) About MAGIC AI MAGIC is a new AI architecture currently under active development. We're looking for a dedicated and highly skilled machine learning engineer to serve as the Official MAGIC Trainer, working directly on the training pipelines, performance tuning, and dataset refinement for the MAGIC and MageV1 foundation models. This role is ideal for someone who enjoys experimental architectures, training large models from scratch, and pushing performance boundaries through iterative improvements to the training loops. How...

I already have a Google Colab notebook I want to host it on Novita platform

Hello I have a project, I have a code in pycharm. This code should give me the energy yield for PV panels in 4 cities: Riyadh, Tabuk, Dammam, and Jeddah Also it should give me the following 1- EY without cooling and pv cell temperature 2- EY with PCM and % of increase in the EY and pv cell temperature 3- EY with fins and % of increase in the EY and pv cell temperature 4- EY with PCM + Fins and % of increase in the EY and pv cell temperature

We book safari tickets on a website where thousands of people book the tickets everyday on same time in few min all tickets got sold out. We need a automation software which we can use in mobile and book our tickets in minimum time.

I'm seeking a skilled AI engineer specializing in computer vision. The primary goal of the project is to automate processes using a computer vision solution. Successful freelancers should provide detailed project proposals outlining their approach, methodologies, and timelines. Ideal skills and experience: - Expertise in computer vision algorithms and frameworks (e.g., OpenCV, TensorFlow, PyTorch) - Experience in deploying AI models in production - Strong programming skills (Python, C++) - Knowledge of cloud platforms (AWS, GCP, Azure) - Ability to work within budget constraints and deliver on time Please include any relevant past work and experience in your proposals.

We are looking for an expert with strong, real world expertise in video model implementation to join a production-grade development environment. The role requires the ability to transform an idea into a clean design and then into a robust, test-covered implementation suitable for real-world deployment. You will operate inside an established codebase, within a structured team, and under standard engineering practices. Core expectations: • Solid use of Git and experience working with feature branches, pull requests, and clear commit history. • Advanced reading proficiency in English to work autonomously with technical documentation and APIs. • Precision, clean architecture, maintainable code; explicit avoidance of unstructured or ad-hoc solutions. • Consistent adoption o...

I need a production-ready liveness-detection SDK that runs natively on both iOS and Android. The integration must be completely silent: no user gestures, voice commands, or on-screen instructions—just automatic detection once the camera opens. Core detection logic • Reject frames unless exactly one live face is present; if multiple people appear, the SDK must fail fast. • Confirm the person is looking straight into the camera. • Classify and flag: closed eyes, open mouth, face mask, number of detected faces, and overall “live/not-live” status. • Return structured JSON with confidence scores for every rule above so the host app can decide pass/fail thresholds. Performance expectations The classifier should run in real time (≥25 fps) on mi...

I’m ready to dive into Nvidia’s robotics stack—Isaac Sim, Isaac Lab, and the Jetson family—but I need someone who can guide me from square one. My immediate focus is the Jetson Orin Nano, yet I eventually want to branch out to AGX and even Thor once the fundamentals are solid. My background: I’m a beginner in both robotics and AI, so please be comfortable breaking complex ideas into clear, practical steps. I learn best through hands-on, one-on-one sessions conducted online. We can screen-share inside Isaac Sim, walk through Python scripts, and iterate on small projects that culminate in a functioning robot pipeline—from simulation to deployment on the Orin Nano board. Key areas I’d like to cover: • Setting up Isaac Sim and Isaac Lab enviro...

I already have a small library of “known” general-inquiry prompts—right now it’s just one example (“Can you say it aloud?”) paired with its approved answer. Whenever an incoming user message is substantially similar to one of these stored prompts, I want the system to reply with the matching response automatically. If the message is about a document the user has just uploaded, the system must instead summarize the document rather than refusing. Every other message should flow through to the normal reply logic I already have. Here’s what I need from you: • A lightweight Python module (open to another language if you feel strongly) that receives an incoming string, checks it against my growing list of general information-request prompts, and ...

I have a complete research topic ready and now need a seasoned academic writer who can turn it into a publication-ready PhD paper in Computer Science, with a heavy emphasis on machine learning, deep learning and AI. The study will rely on an experimental evaluation that uses established benchmark datasets, so you should feel completely at home designing experiments, interpreting results and presenting them in a way that stands up to peer review. The entire manuscript must be drafted in LaTeX on Overleaf, laid out to the usual IEEE/ACM style conventions (or another template if the target journal requires it). I will expect a polished structure—abstract, introduction, related work, methodology, results, discussion and conclusion—with clear, well-commented equations, figures and ...

I'm looking for a skilled data scientist to predict housing prices using a supervised machine learning approach. Key tasks include: - Load and explore the housing dataset - Preprocess data: - Encode categorical variables using label encoding - Handle missing values by imputing with mean or median - Split into training and testing sets - Train a Linear Regression model - Evaluate performance and visualize results Key features include area and number of bedrooms. Ideal skills and experience: - Proficiency in Python and libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn - Strong background in machine learning, particularly regression models - Experience in data preprocessing and handling missing values

Project for Almoeeni We are looking for a LLM Developer to train our AI system Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (R...

I need an end-to-end machine-learning project created from scratch, starting with raw data acquisition and finishing with a fully trained, evaluated, and clearly documented model. Because the specific business objective is still open, I’d like your guidance in defining the problem—whether prediction, classification, or anomaly detection fits best once we review available data sources together. Here’s how I see the engagement: • Data pipeline: Source or simulate an appropriate dataset, clean it, engineer meaningful features, and store everything in a reproducible format (CSV or Parquet is fine). • Modeling: Experiment with relevant algorithms—feel free to propose scikit-learn, TensorFlow, or PyTorch solutions—and tune hyper-parameters for the best...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...

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The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...

We are looking for a Machine Learning expert with proven experience in Side-Channel Analysis (SCA) to help build a full ML pipeline capable of extracting sensitive cryptographic information from 4-channel smart-card traces (Power, Clock, I/O, Trigger). The objective is to train and deploy ML models that can perform single-trace or reduced-trace key recovery, including 3DES, RSA private key extraction, PIN recovery, and Track 2 reconstruction, based on the data and workflow outlined in our technical documents. Core Requirements (Machine Learning & SCA) The freelancer must be capable of delivering the following: 1. Trace Pre-Processing & Alignment Filtering, normalization, denoising, jitter correction Automatic alignment of thousands of EM traces Region-of-Interest (ROI) detect...

I’m midway through an AI-focused case study that poses four separate questions on tackling a categorical-data regression problem. The work is not tied to a particular industry such as healthcare, finance, or marketing; it sits squarely in the broader AI domain itself, with the goal of demonstrating sound methodology, clear reasoning, and reproducible results. Here’s what I need from you: • Four concise, fully worked-through answers—one per question—covering data preparation, model choice, training, evaluation, and interpretation. • Any Python code (NumPy, pandas, scikit-learn, or similar) used to reach the answers, commented well enough for me to rerun and tweak. • A brief explanation of why regression on purely categorical features was approach...

Write a technical journal paper in machine learning

ADDITIONAL NOTES: I would like this project created in GO HIGH LEVEL as an AI AGENT. Please do not respond if that is NOT possible. I’m moving several customer-facing ideas from concept to working prototype and need an experienced AI programmer who can jump in quickly and stay adaptable as projects evolve. Right now most of the work centers on image data, sensor data and other client producer streams, so you should be comfortable building models that combine computer-vision style inputs with real-world signals and then packaging the results into demos our customers can try. Everything is in the prototype phase, so speed of iteration matters more than perfection. Expect to work in short cycles, plug code into existing repositories and refine models as soon as we collect fresh s...

I’m building a car-review website where the standout feature is an AI engine that tailors vehicle recommendations to each visitor. Rather than scraping browsing data or hooking into social media, the system will rely on a concise user-preferences questionnaire presented during the onboarding flow. The questionnaire must capture: • Driving style • Car brand preferences • Budget range Using those three inputs, the model should instantly rank suitable cars and surface the most relevant in-house reviews, specs, and pricing information. I need the full pipeline: data pre-processing, model selection or fine-tuning, API or microservice that returns ranked results, and a front-end component (React preferred, but open) that displays both the questionnaire and the recomm...

I already have the essentials—custom avatars, several human-voice recordings, and finished scripts—but I need a streamlined, AI-assisted workflow that turns those pieces into a polished video set inside realistic illustrated scenes. Your role is to design and set up that workflow, then walk me through using it. I’m looking for a solution that lets me: • import an avatar, • attach the matching human voice track, • paste the script for accurate lip-sync, • drop the character into a realistic illustrated background, and • render a full-HD video worth watching. Whether you prefer Blender, Unity + Cinemachine, custom Python tooling, or another stack, I’m flexible—as long as the final output looks professional and the st...

PROJECT OVERVIEW We are developing a next-generation AI Wearable Unit that provides real-time, voice-first AI interaction through a cloud-based LLM engine. The hardware development is already being handled by another vendor. We now require a highly skilled software/firmware partner to build the complete software ecosystem, including: • High-level firmware for AI interaction • Cloud backend • AI orchestration layer • Mobile App (Android mandatory, iOS preferred) • IoT messaging infrastructure • OTA integration This is a senior-level, multi-disciplinary project requiring solid experience in IoT, embedded systems, AI/LLM integration, and scalable cloud architecture. SCOPE OF WORK 1. Firmware Development (High-Level Logic Only) Low...

Describe what you need I’m building a system that can sense emotional signals in a live conversation — from audio, video and speech — and return a synchronized emotional stream for a weekly podcast. I need one engineer who can build a real-time multimodal pipeline from scratch. The role is hands-on: prototype fast, ship weekly improvements, and make it work end-to-end. This is inference only, not model training. The System (High-Level) The pipeline will: Capture 2 video feeds from cameras extract facial/body emotional signals timestamp frames Capture audio input from a dual mic receiver run emotion model track tone/tension/stress cues timestamp stream Run Whisper (or similar) in real time speech-to-text confidence scores timestamped text segments Synchron...

A web-based AI diagnostic assistant that guides users through symptoms and generates a personalized care plan based entirely on verified medical knowledge. Unlike standard online symptom checkers or chatbots, this platform adapts dynamically: it asks follow-up questions intelligently, guides home testing, and flags emergencies in real-time. Key Features Step 1: Base Symptom Quiz, not chat a QUIZ Users input general symptoms (fever, dizziness, stomach issues, fatigue, etc.) Structured, easy-to-answer questions (Yes/No, number input, multiple choice) Answers stored securely in a backend database Step 2: AI Analysis & Dynamic Follow-Ups AI evaluates user responses using your curated dataset only, in a quiz form with questions and multiple choice answers, not a back and forth chat ...

I want the create the simplest AI wrapper software that’s good enough for a demo. It can be LinkedIn to either ChatGPT or Gemini. It is for talent matching, you just impute CVs and job descriptions and it gives you like an AI matching score, or it ranks them according to how much they fit the job, that’s all. That’s all. I’m not monetizing it and it’s a Simple UI and very good looking and neat. The software apk should be available for able Mac (I only need to be able to demo it on my Mac). All you need to do on the from end is buy logo, name, space to input job description, space to write client name, location etc, space to attach resume. And proceed button, and button to download. You also add whatever instructions that goes to the main ai when you press pro...