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Anurag Nagare's avatar
Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
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 Everyone's building AR filters and
Everyone's building AR filters and calling it "computer vision magic." Almost nobody's asking what's actually happening underneath — that most of these effects are just clever masking, not detection. Here's proof. I built an invisibility cloak that runs entirely in the browser, no green screen, no chroma key, no model training. https://github.com/AnuragNagare/Ghost-frame
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Cover image for What your attention heatmap isn't
What your attention heatmap isn't telling you Everyone's staring at attention heatmaps and calling it "interpretability." Almost nobody's asking whether a single attention map actually tells you what the model used to make its decision. It doesn't. Not on its own. A raw attention map from layer 8 shows you what layer 8 attended to. It says nothing about how that signal got mixed, diluted, or overwritten by every layer before and after it. Attention rollout fixes this — and I built a walkthrough to show why it matters. Here's what makes it more than a "pretty heatmap" demo: Instead of visualizing one layer's attention, I traced how information actually flows through the full transformer stack. → Every layer's attention matrix is extracted, per head, per token → Multi-head attention is averaged, then combined with the residual connection (identity + attention) — this is the step most tutorials skip, and it's the one that actually matters → The combined matrices are matrix-multiplied layer by layer, rolling attention forward from input to output → The result: a single map showing genuine token-to-token influence across the entire network, not just one layer's snapshot The overlay shows you everything: → Per-layer attention vs. rolled-out attention, side by side → Token importance scores overlaid directly on the input text → A comparison view: which tokens raw attention says "matter" vs. which ones rollout says actually matter → Head-level breakdown so you can see which heads specialize vs. which are noise No black box. No "trust me, the model looked here." Just linear algebra, applied honestly across every layer instead of cherry-picking one. Built with PyTorch + HuggingFace Transformers + Matplotlib. Runs on any pretrained transformer, fully offline. ⚠️ Important: attention rollout is an approximation, not ground truth. It assumes attention is the primary information pathway, which ignores MLP layers and can still mislead for very deep models. Treat it as a debugging lens, not proof of causality.
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Cover image for Everyone's racing to add biometrics
Everyone's racing to add biometrics to logins. Almost nobody's asking what happens when you can't — or shouldn't — touch the sensor. Shared kiosks, clinical settings, accessibility needs, hygiene-sensitive environments. Fingerprint readers and face unlock assume contact or a stored faceprint. Sometimes you want authentication that touches nothing and stores no biometric image of you at all. So I built GestureAuth — a contactless authentication system where your "password" is a sequence of hand gestures performed in front of a standard webcam.
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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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Ratnapriya Lal's avatar
Ratnapriya Lal
Ahmedabad, India
Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.
New to Contra
Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.
Cover image for Named Entity Recognition API Development
Named Entity Recognition API Development
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Cover image for Summary of the work I've
Summary of the work I've done in Data Science / ML
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Cover image for Image Similarity Search System Development
Image Similarity Search System Development
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Cover image for Hybrid Recommender System Development
Hybrid Recommender System Development
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Waqas Ahmed's avatar
Waqas Ahmed
Islamabad, Pakistan
Data Scientist | NLP | GenAI | Automation
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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