Aprendizaje Automático (ML) Jobs

I want to build a focused AI-driven audio transformation system whose single job is to modulate voice pitch for podcast episodes. The goal is to let me take spoken-word recordings and shift the pitch up or down in a natural, artifact-free way so hosts or guests can sound more consistent across segments. Here is the scope I have in mind: • Core engine: a machine-learning or DSP solution—built in Python with libraries such as PyTorch, TensorFlow, or a lightweight C++/Rust backend if latency demands it—that reads standard WAV/MP3 input, applies the pitch shift, and exports the processed file at the same sample rate. • Control parameters: semitone or cents sliders plus a formant-preservation toggle so the speaker still sounds authentic. • Workflow fit for podcast...

Pro java & springboot developer Comfortable with AI and LLMs etc

I’m building a smart fitness companion that adapts every workout to how much discomfort a user is feeling that day. The core of the product is an algorithm that generates personalized plans, asks the user to rate their pain on a simple in-app scale, and then adjusts intensity, exercise selection, and rest periods automatically. Over time it should learn from completed sessions and update routines while presenting clear progress trends so the user can see where they’re improving without aggravating problem areas. Here’s what matters most: • Personalized fitness plans generated by AI. • Live pain-level monitoring through self-reported scales (no wearables in the first release). • Visual progress tracking that highlights correlations between pain scores...

I am building a cinematic blast sequence and need solid data-driven support rather than eye-balling particle emitters. The idea is to run an AI/ML simulation that predicts how metal, glass, concrete, wood and plastic fragments fly away from the detonation point, then turn those numbers into clear data-visualisation charts I can hand directly to the FX team. Scope • Direction, speed and distance must be predicted separately for each material class, following the colour code I already use on set (red = metal, blue = glass, grey = concrete, orange = wood, green = plastic). • The charts have to highlight the mean and standard deviation for every variable so the artists immediately see the “typical” trajectory as well as the natural spread. Other metrics such as perce...

We seek collaboration from responsible professionals to develop a tool for our Controls, process automation use () that will be used in conjunction with our websites by our sales folks. Our sales team has been using several sales tools & we like to replace them with our own customized tool - which is the reason for this post. We shall own all the work you will develop or use for development. The attachment provides the detailed work scope for you. Include some reasonable time for training our folks about your work (so we can maintain) & warranty for 3 months after final acceptance, deployment. Submit relevant response to our JD only with relevant examples of work done in the past by you for satisfied clients. If no relevant examples are submitted, we shall assume you have not done ...

Freelancer Requirement: Design & Development of Long-Range Electric UAV (Stealth Capable) We are seeking an experienced UAV design and embedded systems expert/team to collaborate on the end-to-end development of a long-range electric drone with advanced capabilities. Project Overview We are building a high-endurance unmanned aerial vehicle (UAV) with the following target specifications: Flight Time: ~16 hours Payload Capacity: 5 kg Base Weight (without payload): ~45 kg Propulsion: Electrically powered (Single fan propulsion system) Configuration: Fixed-wing / hybrid (open to expert recommendations) Special Requirement: Low observability / radar signature reduction (stealth-oriented design) Should have AI capabilities to take decision Purpose : Survillance Scope of Work 1. UAV D...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

Overview We’re looking for a US-based software engineer with AI experience who can help us secure and manage client opportunities. Your main role is simple: You’ll get jobs and communicate with US-based clients, attend calls, and represent projects. Our internal team will handle the actual development work. Responsibilities - Get relevant AI/software roles or freelance projects - Join client calls and represent the project professionally - Understand client needs and communicate them clearly - Act as the main point of contact throughout the project - Coordinate with our internal engineering team Requirements - Based in the United States - Background in software engineering (AI/ML preferred) - Strong communication and client-facing skills - Comfortable leading calls and discu...

I’m building a small-scale tool that can turn any written prompt into a high-quality, anime-style cartoon illustration of a human character. The look should lean unmistakably toward modern anime rather than Western comic or classic Disney, with attention to clean linework, vibrant cel shading, and expressive facial features. Here’s what I need from you: — A reproducible AI workflow (Python script, notebook, or GUI wrapper) that accepts a text prompt and returns a 1024×1024 PNG in the requested anime style. — Either a fine-tuned Stable Diffusion / SDXL checkpoint, LoRA, or an equivalent open-source model ready for local inference, along with clear setup instructions. — Example prompt templates that highlight how to control pose, lighting, background,...

I need a set of modular Python scripts that bring machine-learning intelligence into my network-monitoring workflow. The primary goal is to spot malware traffic in real time, analyse it on the fly and trigger an automated response that contains or blocks the threat without manual intervention. Scope of work The solution should ingest live packet data (pcap, NetFlow or similar), run it through an AI/ML model trained to recognise malware signatures and behavioural anomalies, and then decide—within seconds—whether to raise an alert, quarantine the source or execute a predefined remediation playbook. Beyond simple flagging, I also want deeper malware analysis so I can review payload characteristics and produce short forensic reports. Required deliverables • Clean, well-d...

I’m expanding our skilling programme and want an expert who can design, build, and thoroughly test a hands-on AI/ML curriculum. The core of the course will revolve around agentic applications and production-grade Python, with every lab and capstone project deployed to AWS. An intermediate command of the AWS stack—think SageMaker, Lambda, ECR, CloudFormation, and the new AI-powered CodeWhisperer/Copilot workflows—is preferred, while experience across the full-stack (React, Node, Docker, CI/CD) will help you weave modern software engineering practices into each lesson. Your day-to-day will include: • Crafting a coherent learning path, slide deck, and detailed instructor notes • Building labs, automated tests, and grading scripts that run seamlessly in AWS &bu...

I am building an AI-powered assistant for our campus that can understand students and staff no matter how they reach out—typed messages, spoken questions, or even photos of notice boards and forms. The core job is to create the full conversational system, wire it to our existing data sources, and make sure it remembers context across an entire back-and-forth so users never feel they are starting over. What the bot must handle • Course information, timetables, and key dates • Event details and real-time updates • A searchable staff directory with contact methods • Personal student info that sits behind login (e.g., enrollment status, fees) Essential capabilities • Accept text, convert voice to text (and optionally reply with TTS), and extract text ...

Flux Hub is an operational data ecosystem for mid-market companies (€2M–€50M revenue). We are building a rapid-response freelance pool for ongoing client projects. We need freelancers in these roles: Role What you will do BI / Looker Studio Developer Build dashboards, ETL pipelines, data blending Data Analyst (SQL + Python) Data cleaning, transformation, exploratory analysis No-code Specialist (Make / n8n) API integrations, workflow automation ML Engineer (light models) Time series forecasting, predictive maintenance Requirements: Proven portfolio (attach links or files) Response time under 12 hours Fluent English (technical documentation level) Ability to sign NDA What we offer: Regular project flow (starting 1–2 projects per month) Fast payment (within 5 da...

Customer Churn Analysis & Prediction Project Overview Conducted an end-to-end Customer Churn Analysis project to identify patterns and predict customer attrition. Focused on both data exploration (EDA) and machine learning modeling to generate actionable business insights. Aimed to help businesses reduce churn, improve customer retention, and increase profitability. Dataset Details Dataset includes customer demographic, financial, and behavioral features: RowNumber, CustomerId, Surname CreditScore, Geography, Gender Age, Tenure, Balance NumOfProducts, HasCrCard, IsActiveMember EstimatedSalary Target Variable: Exited (Churn Status) Tools & Technologies Python Libraries: pandas, numpy (data processing) matplotlib, seaborn (data visualization) scikit-learn (ML modeling) Advanced Te...

I plan to streamline several internal workflows with machine-learning powered automations and, in parallel, launch a tailored chatbot that reflects my brand voice. The engagement is split into two connected tracks: 1. Smart automation • Map current data flows, then design and deploy Python-based pipelines that ingest data from my CRM and analytics dashboards. • Train and tune models (TensorFlow / scikit-learn preferred) to surface predictive insights—think churn risk and high-value lead scoring—served through a lightweight API so the business team can consume results in real time. 2. Custom chatbot • Build a conversational agent (Rasa, Dialogflow, or a comparable LLM stack) able to switch context between customer support queries and basic sales q...

I'm seeking an AI/ML programmer to develop an image classification model specifically for fingerprint recognition. Key requirements include: - Expertise in image recognition and classification - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong background in handling and processing image datasets - Knowledge of security and privacy considerations in biometric data Ideal candidates will have a proven track record in similar projects and the ability to deliver accurate and efficient models.

Long term developer needed for ongoing support, update or replace trading module and adding value to established 18 month project. REQUIRED - experience of AI with trading charts, signals, orders to digital wallet and knowledge of crypto, scraping and API Main requirment - trading module not hitting Moving Average crosses and needs fixed or replaced, so please only apply if knowledge on syncronising MA signals with VWAP and then buy/sell orders sent to wallet. also issues with scraping website. -Bot been running for about a year and agents been knocked offline. -Bot uses chart info from online dex sources via data scraping to assist coin selection process -Bot also uses AI via OpenAI to anaylse trade opportunities. -telegram function to display trade info and AI output. -hosted on 5 li...

I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...

Hi, I’m working on my Master’s thesis in Electrical Engineering (Power Systems) and looking for an experienced freelancer to help complete key technical components. The project focuses on AI-based predictive maintenance for distribution transformers, combining machine learning models and optimization-based scheduling. Scope of Work: 1. Machine Learning Models Implement and finalize: Random Forest (already partially done) SVM (RBF kernel) Decision Tree (optional benchmarking) Perform: Hyperparameter tuning (GridSearchCV / RandomizedSearch) 5-fold cross-validation Performance evaluation (Accuracy, F1, AUC) 2. Data Handling & Feature Engineering Work with BRAVO dataset (15k+ samples, 16 features) Handle: Missing values (<5%) Class imbalance (SMOTE already used ~87:13 &ra...

I want to put an AI tutor in every algebra student’s pocket. To make that happen, I need you to design and code a Retrieval-Augmented Generation pipeline that can
understand a question, pull the most relevant snippets from my curated algebra textbooks, formula sheets, and problem sets, then explain the answer step-by-step with rock-solid reasoning. Here is what success looks like from my side: • A working RAG stack (embeddings → vector database → LLM) wired together with modern tooling such as LangChain, LlamaIndex, or an approach you can justify. FAISS, Pinecone, Weaviate, or similar are fine for the vector layer; OpenAI, Claude, Llama 2/3, or comparable models may drive generation. • Retrieval tuned for high recall and low latency—students should see a...

Hello, I’m looking for an experienced developer to help me build a GitHub portfolio centered around Python, DevOps, and AI/ML. The goal is to create 3–5 high-quality, real-world projects such as: ML model with deployment (API + Docker) CI/CD pipeline using Jenkins or GitHub Actions Data pipeline or ETL project NLP or anomaly detection use case I’m not just looking for finished code — I’d like clear documentation and some guidance so I can understand and explain the work confidently. Please share examples of similar work if available.

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AI Tool: Convert Architectural Casework Elevations (PDF) into Editable AutoCAD DWG Files with Self-Training Interface Project Description I need a custom AI tool that automatically reads architectural casework elevation drawings (PDFs) and generates complete, editable AutoCAD DWG files using my existing multiple block libraries. The tool must detect cabinets, sinks, fixtures, shelving, countertops, and miscellaneous equipment, then place the correct blocks with accurate dimensions, countertop outlines, and section views. It must also include a natural language self-training interface so a non-technical user can teach and refine the AI using plain English rules or by correcting the output drawing. This is Phase 1 (Proof of Concept) of a larger initiative. Future phases will expand to multip...

We are looking to hire experienced freelancers to help build a next-generation AI-powered camera management system for a camera business that is moving from traditional operations to a more advanced, centralized, and intelligent platform. The objective is to develop a scalable solution that can support multi-camera monitoring, AI-based body scanning, behavior tracking, vehicle number plate recognition, drone integrations, real-time alerts, and secure admin control. The platform should be designed for future growth and long-term operational use. This is not a basic prototype — we are looking for professionals who have worked on relevant, production-level systems. Project Scope The system will include, but is not limited to, the following capabilities: 1. Live camera streaming and re...

I want to build a custom large-language model that goes beyond text-only chat. The goal is a predictive engine that can read free-form text, combine it with numerical features, and return forward-looking insights. In practice that means designing an architecture able to embed and fuse both modalities, training it on my mixed dataset, and validating that the model can reliably forecast the target variables we care about. You will take me from data preprocessing through to an inference-ready checkpoint. I expect clean Python code (PyTorch or TensorFlow), sensible use of the Transformers or similar libraries, and a clear explanation of why each modelling choice was made. Please include evaluation notebooks that show the lift over conventional baselines and provide an API-style script so I ca...

I need an end-to-end AI solution that will sit on our motorcycle dealers’ websites and instantly handle customer support and inquiries. The focus is clear: the assistant must be able to answer technical support questions as well as offer product information and recommendations. To create a seamless experience, I want the AI available through two channels: a real-time live-chat widget and a searchable knowledge-base interface. Order tracking and inventory features are not priorities right now, but I may add them once the core support flows prove reliable, so please build with future expansion in mind. Core scope • Import and structure all service manuals, spec sheets, and accessory catalogs so the model can pull precise technical data and suggest compatible parts or models. ...

We are looking for a talented frontend developer to bring our Figma designs to life by building a visually stunning, high-performance website using HTML, CSS, and JavaScript. This project involves translating Japanese content, so proficiency in Japanese is required. The ideal candidate will have a strong eye for design and be able to accurately replicate layouts while enhancing them with smooth animations and professional styling. Responsibilities: Convert Figma designs into clean, responsive HTML/CSS/JavaScript code Ensure pixel-perfect implementation aligned with the original design Translate Japanese content accurately into the website Implement modern UI animations and interactions Optimize for performance and cross-browser compatibility Requirements: Proven experience in frontend deve...

Need someone that can figure out how to get backlinks exclusively with AI agents Here is a suggested workflow Conversation with Gemini How would you use AI agents to get local backlinks? In 2026, the transition from traditional search to Answer Engine Optimization (AEO) has shifted the value of local backlinks toward Entity Authority. Instead of just "blue links," AI agents now prioritize backlinks that prove your business is a trusted, real-world entity. Here is a technical workflow for using AI agents to acquire high-authority local backlinks. 1. Autonomous Local Prospecting (The "Researcher" Agent) Instead of manual searches, you can deploy agents to identify "unlinked local entities" where your business should be mentioned. The Workflow: Use a no-cod...

Description: I need a bot that trades on Polymarket's "BTC price up/down in 5 minutes" binary markets. The bot will buy a "Yes" token when it predicts a price increase within the next 10 seconds, then sell immediately after a small upward tick — scalping tiny profits repeatedly. The model's output is the probability of a price rise in the next 10 seconds (not the full 5 minutes). Role: Full-stack ML engineer → data pipeline + LSTM/XGBoost model + backend API + frontend dashboard. Tasks: Ingest BTC spot price (1s or 1min), VIX, Polymarket token price, order book data Train LSTM or XGBoost to output probability of price increase in next 10 seconds Build FastAPI backend + simple frontend (Streamlit/React) Integrate with Polymarket CLOB API for li...

I have a large, continually growing collection of emails that needs to be processed automatically. The goal is twofold: 1. Classify each email into predefined business categories with high accuracy. 2. Extract relevant entities (names, dates, IDs, product references, etc.) from the same messages. You will own the entire machine-learning workflow. That means cleaning and exploring the raw email text, crafting useful features, training and tuning your models, and packaging the final solution behind an API that I can call from our existing back-end. Python is a must, and I’m comfortable with either TensorFlow or PyTorch for the deep-learning components—use whichever lets you move fastest. Traditional techniques with Scikit-learn are welcome wherever they make sense. Because t...

Project Description: I am looking for an experienced Machine Learning or AI specialist to develop a climate-responsive adaptive façade control system. The goal is to create an intelligent model that automatically adjusts façade shading devices and ventilation strategies based on environmental conditions to improve thermal comfort and reduce energy consumption. Project Objectives: Develop a Machine Learning-based adaptive façade control system Predict optimal shading positions based on outdoor temperature and indoor conditions Improve thermal comfort while minimizing energy consumption Create a climate-responsive façade control framework Expected Deliverables: Machine learning model (Python / MATLAB / suitable platform) Feature importance analysis Predictive ...

I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • ...

deploy a dual-model pipeline on AWS. Scope of Work Dual-Model Deployment: Deploy the Pillar-0 (Atlas architecture) for multi-finding classification across Chest, Abdomen, and Brain. Integrate Sybil-1.5 for specialized future lung cancer risk prediction (1–6 year horizon). Inference Pipeline & Report Generation: deploy pipeline that takes zipped DICOM files, performs 3D volumetric reconstruction, and runs concurrent inference. script (attached). This script shows how to read the (Zip file), stack of the medical pictures (DICOMs) into a 3D block, and run both the Pillar-0 model (for findings) and Sybil-1.5 (for cancer risk) -This tells AWS which specialized tools to install to read 3D medical images AWS Cloud Architecture: Host models on AWS SageMaker (GPU instances like m...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

What you'll do Design and optimize AI image/video generation pipelines for high-concurrency inference Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX) Optimize GPU inference performance using TensorRT, xformers, and quantization techniques Implement LoRA-based fine-tuning for character consistency and style customization Collaborate with ML researchers to accelerate the path from research to production Requirements 5+ years of AI/ML engineering experience Hands-on experience with video or image generation systems in production Strong PyTorch skills; experience with Diffusers and DiT architectures Solid understanding of GPU inference optimization (TensorRT, xformers, quantization) Practical LoRA fine-tuning experience, including hyperparameter t...

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I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

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I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment

The project centres on building a production-ready medical image -classification pipeline that leverages modern deep-learning techniques. I have a labelled dataset and need end-to-end code that ingests the text, handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; The preprocessing must involve Quantum computing techniques using Pennylane. PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Export...

I need an AI-powered study planner app for Android, designed specifically for JEE aspirants. The app should include: - Personalized study schedules - Progress tracking - Mock test analysis - Smart revision system Additionally, the AI should offer study suggestions based on performance analysis to help students improve, especially in their weak areas. Ideal skills and experience include: - Experience in AI development - Mobile app development for Android - Knowledge of educational technology - UI/UX design for user-friendly interfaces I am looking for a developer who can create a robust, reliable, and intuitive application that will help students stay consistent and achieve their academic goals.

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...

I am preparing a scientific-grade computer-science paper that explores how Artificial Intelligence can be applied to Disease Diagnosis, with a sharp focus on Genetic Disorders. I already have a broad outline but need a researcher-writer who can turn it into a publishable manuscript that meets typical IEEE or Springer journal standards. Here’s what I’m after: • Scope. A clear literature review on AI techniques currently used for diagnosing genetic conditions such as cystic fibrosis, sickle-cell, or rare chromosomal abnormalities. Contrast traditional pipelines with cutting-edge deep-learning approaches (CNNs, Transformers, multimodal models, etc.). • Original contribution. Either propose a novel framework or run a small-scale experimental study on an open dataset (...

Road Accident Analysis Dashboard | Power BI | DAX • Engineered an interactive Power BI dashboard tracking 5+ accident KPIs (severity, fatality rate, peak hours, high-risk zones) using DAX measures across a 12-month dataset. • Reduced insight discovery time by ~40% for stakeholders by replacing static reports with drill-down filters by location, vehicle type, and accident cause. • Applied DAX-based time intelligence to compare YoY fatality trends, revealing a 15% increase in night-time accidents that guided policy recommendations. AI-Enabled Multi-Disease Detection System | Machine Learning | Python • Built a multi-label ML classifier detecting Diabetes and Heart Disease with 87%+ accuracy using Logistic Regression and Random Forest on a 1,000+ patient d...

Project Overview: We are seeking an experienced Machine Learning Specialist to assist in the development and implementation of machine learning models for the controlled synthesis of carbon dots (CDs). This project involves data-driven prediction of optical properties of CDs based on key reaction parameters. The ideal candidate will have expertise in machine learning algorithms, data preprocessing, feature engineering, and model optimization. Knowledge of Python and relevant libraries (e.g., Pandas, Scikit-learn) is essential. Project Description: The project aims to apply machine learning techniques to predict and optimize the synthesis of carbon dots, focusing on properties like fluorescence intensity, emission wavelength, and stokes shift. The dataset comprises experimental data on 80 ...

I want to replace paper timesheets with an automatic clock-in / clock-out system that identifies staff by face the moment they pass our main entrance camera. As soon as a recognised face crosses the frame, the system should log the arrival or departure time against that employee’s profile and store the record in an attendance database I can export to CSV or Excel. Architecture is open: I’m comfortable with a cloud, on-prem, or hybrid deployment—whichever you feel offers the best balance of accuracy, speed and privacy given a single entrance camera. No links to my HR or payroll software are needed for now, so a self-contained dashboard or lightweight web portal that lets me view, edit and download daily, weekly and monthly reports is perfect. Key deliverables &bull...

We are looking for an experienced technical recruiter to help source and screen high-quality engineers for ongoing projects. Roles we are hiring for include: - AI / Machine Learning Engineers - Data Scientists - Data Engineers - Backend Engineers (Java, Go, Rust, C#) Responsibilities: - Source qualified candidates (LinkedIn, networks, communities, etc.) - Pre-screen candidates (technical fit, communication, experience) - Present a shortlist of high-quality candidates - Coordinate initial introductions/interviews Requirements: - Proven experience recruiting for technical roles (AI/ML or backend preferred) - Strong understanding of engineering profiles and tech stacks - Ability to identify high-quality candidates (not mass submissions) - Good communication and responsiveness Nice to have...