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Anurag Nagare's avatar
Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
New to Contra
I’m an AI & Machine Learning engineer with expertise in deve
Cover image for launched TextGenix Enterprise — an AI-powered intelligent do...
launched TextGenix Enterprise — an AI-powered intelligent document processing system! This platform enhances and transforms documents (PDF, DOCX, TXT, HTML, RTF) with context-aware vocabulary improvements, grammar validation, and industry-specific terminology (legal, medical, financial, technical). It comes with a sleek Gradio-based web interface featuring modern styling, interactive analytics dashboards, and real-time quality metrics like semantic preservation, grammar score, and AI confidence levels. If you’re looking to build your own AI-powered text/document platform, enhance business workflows with custom NLP models, or integrate analytics-driven AI solutions into your enterprise apps I can help.
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Cover image for It all started on a
It all started on a Sunday at the AWS User Group Mumbai meetup. I wasn't expecting to walk away with a new obsession, but then the speaker introduced me to Temporal and everything changed. Temporal is a durable execution engine that solves one of the hardest problems in agentic AI what happens when your LLM workflow crashes mid-run? Normally you lose everything So I went home and built this: an agent that monitors your competitors around the clock tracking pricing changes, product launches, hiring signals, and strategic moves. Every 24 hours it uses Mistral (running fully on-device via Ollama) to analyze the data and synthesize a structured executive briefing delivered straight to your inbox. Sometimes the best projects start with a Sunday conversation. https://github.com/AnuragNagare/Agentic-AI-.git
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Cover image for HybridAlpha (Hybrid RAG) : One tool
HybridAlpha (Hybrid RAG) : One tool digs into actual SEC filings, not just static documents. From EDGAR, it grabs 10, Ks and 10, Qs fresh each time. Sections like MD&A or Risk Factors get split out by name during parsing. Storage happens two ways at once: words go to ChromaDB, numbers land in SQLite. When a question arrives, the router decides, tone, driven, number, heavy, or both. Depending on that choice, the query moves to one place, sometimes both. Context flows forward only after sorting is done. Answers come from Llama 3.3 70B via Groq, always tagged with sources. Each output ties back to where the data lived. Start by asking, What risks did Apple highlight regarding AI rivals? Out comes exact quotes pulled straight from official documents.
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Cover image for A Neural Network Visualization
A Neural Network Visualization Tool that demystifies AI! I built an interactive web application using Flask and PyTorch that doesn't just recognize handwritten digits it shows you exactly how the AI "thinks." When you draw a digit (0-9) on the canvas, the app processes it through a Convolutional Neural Network and generates a real-time visualization of every layer: from edge detection in the first convolutional layer, through pattern recognition, pooling, and feature extraction, all the way to the final classification. The tech stack includes Python, Flask, PyTorch, and vanilla JavaScript for the frontend. What makes this unique is the educational aspect each layer's activations are visualized using matplotlib, showing the 32 filters in Conv Layer 1, the 64 filters in Conv Layer 2, and the 128-neuron fully connected layer.
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Syed Fatik Islam's avatar
Syed Fatik Islam
Gujrat, Pakistan
Data Scientist delivering insights through analytics and ML
Data Scientist delivering insights through analytics and ML
Cover image for Chat Data Analysis and Sales Insights Platform
Chat Data Analysis and Sales Insights Platform
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Cover image for Instagram Chat Analysis
Instagram Chat Analysis
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Cover image for Sales Analysis of a Clothing Retail Shop
Sales Analysis of a Clothing Retail Shop
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Varshith Gaddam's avatar
Varshith Gaddam
Hyderabad, India
AI/ML student building smart, real-world tech solutions.
AI/ML student building smart, real-world tech solutions.
Cover image for Voice-Based Cognitive Decline Pattern Detection
Voice-Based Cognitive Decline Pattern Detection
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Cover image for Stock Analysis Project with AutoGen
Stock Analysis Project with AutoGen
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Cover image for Paisa Controller: AI-Powered Finance Management App
Paisa Controller: AI-Powered Finance Management App
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Bindupautra Jyotibrat's avatar
Bindupautra Jyotibrat
Guwahati, India
AI mentor | Hackathon pro | CHI 2025 researcher
AI mentor | Hackathon pro | CHI 2025 researcher
Cover image for AI-Powered Document Summarizer Development
AI-Powered Document Summarizer Development
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Cover image for AI-Powered Floor Planning Solution
AI-Powered Floor Planning Solution
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Cover image for TRMSCII - Terminal-based School Management System
TRMSCII - Terminal-based School Management System
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Waqas Ahmed's avatar
Waqas Ahmed
Islamabad, Pakistan
Data Scientist | NLP | GenAI | Automation
New to Contra
Data Scientist | NLP | GenAI | Automation
Cover image for 🧠 Introducing NLP-Assistant! > Smart Workflow Detection: AI...
🧠 Introducing NLP-Assistant! > Smart Workflow Detection: AI suggests the optimal analysis path for maximum insight. > Specialized Workflows: Dedicated analysis for diverse content, including PII detection, hashtag extraction, and citation analysis. > Comprehensive Analytics: Get detailed text stats, VADER sentiment scoring, and interactive Plotly visualizations. >> Check out the repo, give it a star, and try transforming your text data into actionable insights! 👇 github.com/WaqasAhmed27/NLP-Assistant (https://github.com/WaqasAhmed27/NLP-Assistant)
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Cover image for Here is a short post you can use for your project, ParhAI: �...
Here is a short post you can use for your project, ParhAI: 🚀 Just launched ParhAI! I'm excited to share my new AI-powered educational platform, ParhAI. It's built on a modern stack (Next.js 14, TypeScript, Supabase) and integrates cutting-edge AI features to revolutionize learning and content creation. Key Features: 🤖 AI Content Generation (Powered by Google Gemini) 🖼️ OCR for text recognition from images 🗣️ Speech Services (TTS & STT) 📊 Presentation Tools (Reveal.js/PPTXGenJS) Check out the repo, give it a star, and let me know what you think! 👇 github.com/WaqasAhmed27/ParhAI (https://github.com/WaqasAhmed27/ParhAI) #NextJS #TypeScript #GenAI #Education #OpenSource #ParhAI
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Cover image for Introducing F1 Strategy Sim, a machine-learning powered race...
Introducing F1 Strategy Sim, a machine-learning powered race-strategy simulator. It uses 29+ features to predict the outcome of each formula 1 session! Check it out: github.com/WaqasAhmed27/f1-strategy-sim (https://github.com/WaqasAhmed27/f1-strategy-sim?utm_source=chatgpt.com)
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Cover image for NLP Assistant: Automated Text Analysis App with AI
NLP Assistant: Automated Text Analysis App with AI
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Ashish Chaudhary's avatar
Ashish Chaudhary
Lucknow, India
AI Engineer | AI Researcher
AI Engineer | AI Researcher
Cover image for Chatbots provide instant conversational responses
Chatbots provide instant conversational responses and make connecting simple for patients. And when implemented properly, they can help care providers to surpass patient expectations and improve patient outcomes. However, AI solutions sometimes lack the most important quality to good care delivery. So Task was to create a chatbot using python , flask , Javascript , machine learning and NLP techniques.
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Cover image for Designed and built a production-grade
Designed and built a production-grade AI automation system that replaces manual job searching on LinkedIn. The workflow parses resumes using AI, extracts skills and preferences, scrapes relevant LinkedIn job listings, evaluates each role using semantic AI matching, and ranks opportunities by relevance score. It automatically filters low-quality roles, identifies recruiter contacts, and generates personalized outreach messages. The system outputs a centralized tracking dashboard, reducing manual job search effort by over 90% while improving application relevance and response rates.
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Cover image for A RAG-based real estate chatbot
A RAG-based real estate chatbot built to answer queries from Dubai property listings stored in private PDFs. The system uses OpenAI GPT to generate natural language responses, while LangChain orchestrates the full retrieval-augmented generation pipeline including document ingestion, chunking, and retrieval. Pinecone is used for semantic vector search to ensure relevant property information is retrieved quickly and accurately. SerpAPI is integrated to provide optional external insights when needed. The chatbot answers strictly from the uploaded documents and transparently responds with “I don’t know” when the information is not present, ensuring reliable and document-grounded property details.
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Cover image for Interact with databases using natural
Interact with databases using natural language with this NL2SQL system built using LangChain. Users can ask questions in plain English, and it generates and executes SQL queries, returning clear answers.
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Rithik Gour's avatar
Rithik Gour
Mysuru, India
AI Engineer | WEB Developer | ML Engineer
AI Engineer | WEB Developer | ML Engineer
Cover image for pubMed-paper-fetcher
pubMed-paper-fetcher
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Cover image for wealth-ai-navigator
wealth-ai-navigator
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Cover image for Lead AI Harvest - Intelligent Lead Generation Tool
Lead AI Harvest - Intelligent Lead Generation Tool
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Cover image for YouTube Video Transcript AI
YouTube Video Transcript AI
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