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Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
Updated
May 17, 2020
Python
Rank 4 Solution for Analytics Vidhya Jantahack Healthcare Analytics
Updated
Sep 29, 2020
Python
Advanced CrewAI: learning path generator (SerperDev + custom tool) + code debugger (CodeInterpreterTool)
Updated
Jun 5, 2026
Python
4 AutoGen patterns: Reflection loop · FunctionTool BMI · StateFlow portfolio manager · Multi-modal bill analyzer
Updated
Jun 5, 2026
Python
BPE tokenizer from scratch on WikiText-2: 30K vocab, special tokens, TemplateProcessing → PreTrainedTokenizerFast
Updated
Jun 5, 2026
Python
Health classification ML pipeline: 4 models, feature engineering, clinical data cleaning | AV GenAI Pinnacle Plus
Updated
Jun 5, 2026
Python
AI Agent industry report (.1B→7B market) auto-generated as .docx using Python stdlib + multi-LLM RAG | AV GenAI Pinnacle Plus
Updated
Jun 5, 2026
Python
Flask REST API: live stock data, OHLCV history, Sharpe/drawdown/MA analytics + BUY/HOLD/SELL | AV GenAI Pinnacle Plus
Updated
Jun 5, 2026
Python
CrewAI sequential: Logistics Analyst → Optimization Strategist — VRP routing + ABC/XYZ inventory roadmap
Updated
Jun 5, 2026
Python
LangGraph + Claude Sonnet + MemorySaver: persistent competitive intelligence agent for retail stores
Updated
Jun 5, 2026
Python
Full RAG: FAISS + MiniLM embeddings + MMR retrieval + Flan-T5-Large — runs 100% local, no API key needed
Updated
Jun 5, 2026
Python
Rank 89 Solution for Analytics Vidhya Jantahack Customer Segmentation
Updated
Dec 27, 2020
Python
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