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Proyek Berbasis Teknologi 1. *Proyek:* Pengembangan aplikasi mobile untuk pemantauan kesehatan mental. *Nama Proyek:* MindGuard 2. *Proyek:* Sistem monitoring lingkungan berbasis IoT untuk mengukur kualitas udara. *Nama Proyek:* AirCare 3. *Proyek:* Platform pembelajaran online interaktif untuk anak-anak. *Nama Proyek:* EduPlay Proyek Berbasis Lingkungan 1. *Proyek:* Program penghijauan dan penanaman pohon di area perkotaan. *Nama Proyek:* GreenCity 2. *Proyek:* Pengembangan sistem pengelolaan sampah berbasis komunitas. *Nama Proyek:* CleanZone 3. *Proyek:* Pembuatan taman vertikal di sekolah-sekolah. *Nama Proyek:* VertiGarden Proyek Berbasis Sosial 1. *Proyek:* Program pelatihan keterampilan untuk kaum muda. *Nama Proyek:* SkillUp 2. *Proyek:* Pengembangan aplikasi untuk mendukung difa...

I am building a Windows-based computer-vision system that pulls images and related text from PDF and XML sources, then trains a deep-learning model to recognise those images with high accuracy. Everything happens in Python, so the entire training and evaluation pipeline—including data loaders, augmentation, model definition, loss functions, metrics, and experiment tracking—must be written in clean, modular Python code that runs smoothly on a local workstation or GPU server. You will connect preprocessing routines to the raw documents, structure datasets for efficient loading, and iterate through model architectures (CNNs, transformers or other modern backbones). Precise reporting of training curves, confusion matrices, and F1/accuracy scores is essential; the project’s s...

I have a complete purchase-history dataset ready to go and I want to turn it into actionable customer segments. The single objective is clear: identify distinct target customer groups so I can market to them more effectively. The analysis must surface three core insights: • Which customers are truly high-value • Who buys most frequently • Who shows signs of churning You’re free to choose the right statistical or machine-learning approach—RFM scoring, K-means, hierarchical clustering, or a hybrid model—as long as it fits the data. I’ll supply the raw CSV and a short data dictionary; you return: 1. A cleaned, well-documented dataset with the segment labels appended 2. A concise notebook or script (Python, R, or SQL-based) that reproduces th...

I need assistance with Alteryx for data cleaning and analysis, as well as creating AI prompts for data generation. Key tasks include: - Cleaning and analyzing data from AI-generated prompts - Creating prompts for data generation Ideal skills and experience: - Proficiency in Alteryx - Experience with data cleaning and analysis - Familiarity with AI prompt creation - Strong analytical skills Looking for a freelancer who can efficiently streamline these processes.

I’m driving a couple of AI initiatives and need a developer who is equally comfortable fine-tuning Claude, ChatGPT and Gemini as they are building custom projects across multiple products under active development. Collaboration matters to us: plan on spending two full days each week in our Delhi or Noida office/co-working space so we can whiteboard, pair-program and push code together. On the remaining days you can work remotely, but I still expect roughly four focused hours of contribution daily to keep momentum steady. Typical output will include clean, reproducible training scripts, fine-tuned checkpoints, inference APIs and concise documentation so the rest of the engineering team can plug your work straight into production. If this cadence and skill mix excite you, let me kno...

I need a fully-functional web application that acts as an AI voice assistant for farmers. The core job is to make disease detection effortless: a user should be able to describe plant symptoms (or speak them) and immediately receive an accurate diagnosis, possible causes and treatment steps. Beyond that primary task, I would like the same interface to offer crop recommendations and general farming advice so the system feels like a single, knowledgeable companion rather than three separate tools. The web app must accept both voice and typed questions, switching smoothly between the two without page reloads. Under the hood you are free to combine the machine-learning and deep-learning frameworks you prefer—TensorFlow, PyTorch, scikit-learn, FastAPI, Flask, or any stack you are co...

Saya membutuhkan bantuan untuk menyusun sebuah proposal proyek penelitian yang rapi, komprehensif, dan siap diajukan. Fokusnya adalah penelitian berorientasi pengembangan teknologi baru di bidang Kecerdasan Buatan (AI). Cakupan pekerjaan: • Merumuskan latar belakang, rumusan masalah, serta tujuan penelitian yang selaras dengan target “mengembangkan teknologi baru”. • Menyusun tinjauan pustaka terkini tentang tren dan gap riset AI. • Mendeskripsikan metodologi penelitian secara rinci (desain eksperimen, dataset, alat komputasi, serta metrik evaluasi). • Menyiapkan rencana kerja bertahap lengkap dengan timeline Gantt sederhana. • Menyusun estimasi anggaran dan alokasi sumber daya utama (perangkat keras, lisensi software, tenaga ahli). • Menambahkan ...

21. 1、 Title: Research on Static and Dynamic Vulnerable Node Identification Algorithms Based on Uncertainty in New Energy Systems 2、 Journal partition: SCI Zone 4 is best for non OA publications. If OA is required, look for publications with lower costs I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the ...

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We are Yoloshy Technologies’ upskilling program, where freshers and working professionals join live cohorts to master Fullstack development, Cloud engineering, Manual & Automation Testing with Playwright, SAP modules, Data Science / Analytics, Scrum Master practices and related Gen-AI or Cyber-security topics. Your role is to step in as the subject-matter trainer, mentor a small group online, and occasionally showcase short demos during our open workshops. Sessions are usually 60-90 minutes; scheduling is flexible and we will adapt to your weekday or weekend availability. What you will actually do • Shape a concise curriculum aligned with current industry standards. • Deliver interactive lectures, code walkthroughs or configuration demos on our LMS (Zoom, Meet o...

21. 1、 Title: Research on Static and Dynamic Vulnerable Node Identification Algorithms Based on Uncertainty in New Energy Systems 2、 Journal partition: SCI Zone 4 is best for non OA publications. If OA is required, look for publications with lower costs I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the ...

The goal of this task is to train and finetune the Gemma4 Model. I already have a sample training dataset consisting of -incoming mesage -thinking steps -desired final reply I want a trainings pipeline to finetune the Gemma4 model for this datasetp. It should optimize both, thinking and and final response. It would be ideal if the inlucsion of the the thinking steps is optional so I can als train on datasets where I don't have thinking steps. I want to be able to train both the model shipped by Google and also this patached version: The training pipleline should work for both! During the evaluation steps I want to see the following debug output for selected samples: -The full prompt. -The exact sequence use for loss calculation (for both thinking and final reply). The se...

I need to roll out an AI enablement program that measurably improves our operational efficiency. The engagement starts with a deep dive into our current workflows so we can uncover bottlenecks and quantify the gains an intelligent solution could bring. Once the baseline is clear, the next step is to design a practical roadmap that aligns technical effort with the highest-impact opportunities. I am open to the full spectrum of AI approaches—whether that ends up being a machine-learning model to predict demand, natural-language processing to streamline internal knowledge access, or robotic process automation to remove repetitive back-office tasks. The key criterion is that every recommendation can be tied to a clear efficiency metric and a realistic implementation timeline. Deliv...

I'm looking for Mathematics and Biomedical research expert and engineer to help out with project ideas and execution.

The goal of this task is to train and finetune the Gemma4 Model. I already have a sample training dataset consisting of -incoming mesage -thinking steps -desired final reply I want a trainings pipeline to finetune the Gemma4 model for this datasetp. It should optimize both, thinking and and final response. It would be ideal if the inlucsion of the the thinking steps is optional so I can als train on datasets where I don't have thinking steps. I want to be able to train both the model shipped by Google and also this patached version: The training pipleline should work for both! During the evaluation steps I want to see the following debug output for selected samples: -The full prompt. -The exact sequence use for loss calculation (for both thinking and final reply). The se...

I have a rich set of customer data and need it transformed into clear, actionable recommendations that directly guide our day-to-day decision-making. The task goes beyond describing what has happened; I expect you to model multiple scenarios, determine the best course of action for each, and spell out the expected impact on revenue, churn, and overall customer satisfaction. You are free to work in Python, R, or any other modern analytics environment as long as your code is reproducible and well-documented. SQL access to the source tables can be arranged if you prefer to build your own extracts. Deliverables: • Cleaned, well-structured dataset (or repeatable script that produces it) • A transparent prescriptive model with commentary on assumptions and limitations • A ...

I'm looking for an expert who can integrate AI into our stock trading operations. The primary focus will be on predictive analytics. Key Requirements: - The AI should utilize market profile and order flow charts as data sources for its predictions. Ideal Skills: - Experience in AI development, specifically for financial markets. - Strong understanding of stock trading, market profiles, and order flow. - Ability to create accurate predictive models. Looking forward to your proposals!

Temporal Lesion-Aware Dynamic Gated Multimodal Fusion Framework for DR and DME Analysis Using OLIVES and MMRDR Datasets Framework Overview The proposed framework introduces a Temporal Lesion-Aware Dynamic Gated Multimodal Fusion System for automated analysis of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) using multimodal retinal imaging data. The framework combines fundus images, OCT scans, longitudinal retinal information, and optional clinical metadata to improve retinal disease classification, biomarker understanding, and temporal disease progression analysis. Unlike conventional multimodal retinal systems that use static feature fusion, the proposed framework employs a: Dynamic Gated Cross-Modal Fusion Mechanism that adaptively learns the importance of each retinal modal...

I need assistance with sorting a set of numerical data. The sorting needs to follow a custom order based on specific ranges. Key Requirements: - Sort numerical data - Utilize custom order for sorting - Follow specific ranges for order Ideal Skills and Experience: - Experience with data manipulation - Familiarity with sorting algorithms - Attention to detail - Ability to work with custom criteria Please include relevant experience in your bids.

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I need a fresh list of UK-based tech startups that employ or are currently hiring Data Scientists. The goal is to build a highly targeted prospect database that my sales team can start using immediately for outreach. Here is what I expect: • 100 % UK addresses and company domains, all within the tech sector and classified as startups (seed to Series B). • Primary contact should be a Data Scientist or the person directly overseeing data science (name, verified work email, LinkedIn URL, company website, phone if available). • Each record must include company size, funding round (if public), and a brief note on the product or platform so we can segment messaging. • All data must be recent—scraped or validated within the past 30 days—and delivered in sp...

I have a historical sales dataset that I need turned into a reliable forecasting tool. Your task is to apply predictive analytics to uncover the underlying patterns in the data and generate accurate projections of future sales. Here’s how I see the engagement flowing: you will start by cleaning and exploring the raw files, engineer any features that improve signal, then build and validate a forecasting model. I’m open to the techniques you feel are most appropriate—ARIMA, Prophet, gradient-boosted trees, or a custom deep-learning approach—so long as the final model proves its worth on hold-out data. Deliverables • A fully documented model (code + reproducible environment) • A brief methodology report that explains assumptions, key drivers, and accu...

I am competing in a HackerEarth data-science contest and I want to push my score into the top tier of the leaderboard before the challenge closes next month. I have already set up the competition workspace and can grant you immediate access to the dataset, rules, and current public-leaderboard baseline. Here is what I need from you: build, tune, and iterate a high-performing regression model, supply well-commented code (Python is preferred, but you are free to choose the stack you are fastest with), and hand over a prediction file ready for final submission. Along the way, please keep a concise notebook or script that allows me to reproduce your workflow end-to-end on my own machine. In your bid, include links or brief summaries of past work that demonstrate strong results in similar com...

I'm looking for a GitHub repository setup to showcase my data science projects. The primary purpose of this repo is to serve as a portfolio. Requirements: - The repository should include detailed README files with project descriptions. Ideal Skills and Experience: - Proficiency in Git and GitHub - Experience in creating clear and comprehensive README files - Background in data science projects I want to buy the access to git hub project I need the repos to be old and have a good commit history

I need a working software application that carries out statistical analysis on research datasets for my final-year project. The focus is purely on stats—no dashboards, mapping, or fancy visualisations—so everything you build should centre on clean numerical insight. Core functions I must demonstrate: • Upload or paste a CSV/Excel file. • Generate descriptive statistics (mean, median, mode, variance, standard deviation). • Run common inferential tests—t-test, chi-square, ANOVA, basic linear regression—selectable through a simple menu or GUI. • Export the results as a neatly formatted PDF or Word report so I can attach it to my submission. I’m flexible on the tech stack: Python (pandas, scipy), Java (Apache Commons-Math), or any langu...

I’m producing a new video series built around rapid-fire debates between two opposing teams. Each time a speaker makes a claim, the other side can flag it for immediate verification, and that’s where you come in. I need a fact-checker who can work in real time, draw on solid journalistic instincts, and surface reliable, citable information within minutes—sometimes seconds. Your background should be rooted in Journalism; you know how to separate opinion from evidence, spot misleading framing, and trace statements back to primary data. The conversations will lean heavily into the following: • Political debates • Social issues When a claim is challenged you’ll verify it on the spot, provide a concise verdict, and supply the exact citation so our host c...

I need a data-minded strategist who can spot outlier performance in short-form video for the adult space and translate those discoveries into a repeatable, multi-account growth plan. The work goes well beyond “trend surfing”—I’m after someone who can scrape or pull platform data (TikTok, Instagram Reels, YouTube Shorts, and any other avenue you believe can slip past the usual adult-content roadblocks), crunch the numbers, and hand me actionable scripts, hooks, and posting schedules that function as a self-contained ecosystem. Here’s what the first sprint should cover: *CAN understand how to use Tiktok creator insights, trends, general app how-tos • A fresh dataset of top-performing, niche-relevant clips from the past 30–60 days, complete with r...