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Anurag Nagare's avatar
Anurag Nagare
Mumbai, India
I’m an AI & Machine Learning engineer with expertise in deve
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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 Neuro Lend My credit model scored
Neuro Lend My credit model scored 0.92 AUC. Then I changed one field on one applicant, female to male, and she went from approved to rejected. A lot of lending AI works like this: it says no in milliseconds, and nobody, not the customer and often not the bank, can say why. So I built NeuroLend. You fill in a loan application and watch the signal travel through every neuron until the output turns green or red. Then it shows why it decided, and the smallest change that would flip the answer. Rohan is rejected at 54% risk. If he cuts his other EMIs to ₹5,500 a month, or asks for ₹7.5 lakh instead of ₹9 lakh, he's approved. Here's what's happening underneath. It's a small 8 → 10 → 6 → 1 network trained on 40,000 synthetic Indian loan applications, where I deliberately gave gender zero effect on the outcome. The "why" uses Integrated Gradients against an average applicant instead of raw activations, because glowing neurons look great but explain nothing to a human. Counterfactuals come from a binary search on each input the applicant can actually change, and a fairness check re-scores every applicant with only gender flipped. That check caught the bias that accuracy missed. Retraining with gender cut out of the network dropped the effect to exactly zero, and AUC stayed at 0.92. It all runs in plain JavaScript in the browser, about 0.005 ms per decision, with no server. Code is in the comments. How does your team test lending models for bias today? Medium - https://medium.com/@anuragnagare77/neuro-lend-99cddd19faad GitHub - https://github.com/AnuragNagare/Neuro-Lend.git
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Cover image for CryptoHorizon an interactive app that
CryptoHorizon an interactive app that makes the quantum threat to encryption real instead of theoretical: a live Shor's-algorithm demo, a classical-vs-post-quantum crypto benchmark, a personal "harvest now, decrypt later" risk calculator, and a sourced Q-Day timeline, all in one dashboard. Defining feature is honesty by design: every number on screen is computed live at request time, never hardcoded RSA-2048 and ECC P-256 keys get generated, benchmarked, and compared against NIST's ML-KEM and ML-DSA in real time, and the quantum demo runs an actual Qiskit circuit against small, pre-validated semiprimes rather than a lookup table dressed up as a result. Only one thing is allowed to leak into the UI's language: a rule baked in from commit one that nothing may imply real-world RSA is broken or claim quantum advantage. Under the hood, Shor's algorithm runs for real superposition over a counting register, controlled modular exponentiation, inverse QFT, continued-fraction extraction, then a classical gcd step to pull out the factors on a FastAPI backend with no shortcuts. The risk calculator checks your required confidentiality window against five independently sourced Q-Day estimates from NIST, Google, and the Global Risk Institute, so "safe until 2035" is a real, cited comparison, not a guess. medium.com/@anuragnagare77/cryptohorizon-i-built-a-quantum-computer-that-factors-91-and-thats-the-whole-point-2c156a00d0da
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Cover image for One Gate: Voice-controlled Gmail, Calendar,
One Gate: Voice-controlled Gmail, Calendar, and Drive that can't fire the wrong thing Every "AI agent" demo shows a voice command turning into a sent email like magic, but almost nobody shows the part that actually matters: what stops it from sending the wrong thing. I built proof: an agent that runs your Gmail, Calendar, Contacts, and Drive by voice reply to a thread, schedule a meeting, archive an email, find a file hands-free end to end, but never fires anything irreversible without you saying so. The honest hard part isn't getting an LLM to sound smart, it's this: a transcript goes to LLM against a strict JSON schema and comes back as an ordered plan, every step tagged reversible or not and exactly one thing in the whole system is allowed to check that flag. Finding a thread, drafting a reply, creating a calendar event: those just run. The result covers real ground without ever feeling like it's guessing: forward or reply to email with the original quoted underneath, archive/label/trash, resolve a name to a real address through your Contacts first and your mail history as fallback, schedule an event that creates quietly and only emails the invite after a second confirmation, answer "what did John say" or "what's on my calendar Thursday" grounded in content actually fetched from your account not hallucinated. No backend, no server anywhere in the loop
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Lakshmi Anne's avatar
Lakshmi Anne
Slough, UK
Principal AI Engineer | GenAI, Python, RAG & AI Agents
New to Contra
Principal AI Engineer | GenAI, Python, RAG & AI Agents
Cover image for NormGuard: Text Normalisation Research
NormGuard: Text Normalisation Research
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Cover image for Prompt Laboratory Development Project
Prompt Laboratory Development Project
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Cover image for Development of CGAF-Tune Framework
Development of CGAF-Tune Framework
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Cover image for Enterprise AI Workflow Platform Development
Enterprise AI Workflow Platform Development
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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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Sohaib Baig's avatar
Sohaib Baig
Karachi, Pakistan
Software Engineer | Python, React | AI & Automation
Software Engineer | Python, React | AI & Automation
Cover image for AI Psychologist is a chatbot-based
AI Psychologist is a chatbot-based system designed to assess user anxiety through conversations. By analyzing chat interactions, it identifies different types of anxiety, such as Generalized Anxiety Disorder (GAD) or Post-Traumatic Stress Disorder (PTSD). Once a potential anxiety type is detected, the system provides a specialized form to evaluate its severity. This AI-powered tool helps users gain insights into their mental health, offering a preliminary assessment that can guide them toward appropriate support or professional help.
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Cover image for Full-stack Ad Campaign Management Dashboard
Full-stack Ad Campaign Management Dashboard built with React & FastAPI. Features include live KPI tracking (Impressions, Clicks, CTR, Spend, ROAS), interactive performance charts, full campaign CRUD with pagination, client management, and JWT authentication. Includes a WebSocket-based real-time notification system that instantly alerts account managers when campaign metrics cross configurable thresholds (CTR drops, budget exceeded, low ROAS). Alert history persisted in PostgreSQL. Clean architecture with repository pattern and service layer.
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Cover image for Karma Aura is a content
Karma Aura is a content creation and publishing platform built in collaboration with Deque Tech. It enables users to generate blog posts, images, and videos based on their input using OpenAI for text and image generation and HeyGen for video creation. Once the content is ready, users can seamlessly publish it to multiple social media platforms via the Aryshare API. Karma Aura simplifies the content workflow, offering an efficient, AI-powered solution for creators and marketers.
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Cover image for T.O. Clinic, founded in 1998
T.O. Clinic, founded in 1998 in Karachi, is a leading orthopedic care center offering expert treatment in joint replacement, spine surgery, and sports injuries under the guidance of Dr. Khan Shah Azam. With a focus on personalized care and advanced medical technology, the clinic helps patients restore mobility and improve their quality of life. Conveniently located in Gulshan-e-Iqbal, it also provides outpatient services and rehabilitation. The official website, built using WordPress and Elementor, offers easy appointment booking and up-to-date information on available treatments.
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Ratnapriya Lal's avatar
Ratnapriya Lal
Ahmedabad, India
Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.
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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