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AI Service Description Core AI Technology Supporting Techniques User Value
🧠 Predictive AI
Text Sentiment Analyzer Analyzes user-submitted text for sentiment (positive, neutral, negative). Logistic Regression or Transformers Polarity scoring Fast feedback on tone for communication or UX insights.
Emotion Classifier Detects emotional state in text using neural classifiers. Neural networks, optionally Transformers Multi-label thresholding Enhances emotional understanding in text-based systems.
Resume Matcher Predicts job fit and tailors resumes accordingly. Sentence-BERT, cosine similarity ESCO taxonomy, skill extraction Optimizes job search success rates.
Q&A Mini LLM (RAG) Retrieves relevant answers from a mini knowledge base. RAG with Sentence-BERT + classifier FAISS index, metadata filtering Small-scale Q&A testing or embedded knowledge modules.
Stock Trader Simulates trading strategies and risk-based decisions on market data. Quant rules + ML (optional) ATR, RSI, backtesting, visualizations Explore and evaluate trading logic safely.
Self-Trainer Enables users to train and use their own classifiers with labeled data. User-selected (MLP, SVM, Transformer) Data labeling, training interface, model versioning Personal AI model builder for classification tasks.
🎨 Generative AI
Summarizer Creates short summaries of long documents. Sumy, T5 Chunking, compression tuning Speed-read reports, legal docs, articles.
Image Captioning Describes uploaded images in natural language. Vision-to-text (BLIP, similar) Image preprocessing, caption ranking Improves accessibility and indexing of visuals.
Image-to-Story Generator Creates a fictional or themed story from a given image. FLAN-T5 or similar generative models Tone prompts, image captioning Fun or educational use for kids, marketing, or entertainment.
Rewriter Style Changes tone/sentiment of input text. LLM-based prompt-to-prompt transfer Style profiles, text rewriting templates Refines communication for audience or brand tone.
Image Editor Basic image filters + fashion sketch + cinematic AI editing. Hybrid (OpenCV + diffusion-based AI) Sketch → render, cinematic look transfer Creative exploration for artists and designers.
🤖 AI Agents (Single-Task)
AI Detector Identifies whether text is AI-generated. Transformer classifier Token-based heuristics + thresholding Detects academic misuse, content fabrication.
Fact Checking Checks the truth of claims using web evidence. RAG-style verifier Claim scoring, search & ranking Supports responsible information usage.
Object Detection Finds and labels objects in an uploaded image. MobileNet SSD Caffe, OpenCV Recognize content in photos or assets.
🧠 Agentic AI / Multi-Step Workflows
Action Recommender Suggests the next best action or task based on user input or summary. LLM (instruction-tuned) Prompt chaining, task inference Assists productivity, PMs, analysts, students.
Workflow Orchestrator Chains tools and runs multi-step AI pipelines with full history, planner, and logic. LLM + conditional chaining JSON workflows, session timelines, PAI planner Builds and executes complex AI-driven tasks automatically.
Prompt Designer Guides users through multi-step prompt creation with optional tone, format, and self-critique control. LLMs (e.g., FLAN-T5, LLaMA-3) Step-based form UI, tone/style inputs, optional self-evaluation pass Helps structure effective prompts for any AI task or persona, improving output quality.
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