Projects — Taaran Jain

04 / Projects

Selected Work

AI/ML projects I've built — from LLM applications to production-grade ML systems.

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Nexus AI

A multi-modal AI platform combining RAG, live web search, and six LLMs (Llama, Mixtral, Gemma, DeepSeek) in one interface — with real-time streaming, document upload, voice input, and LangGraph-powered node orchestration. Entire stack runs at zero cost.

Next.jsFastAPILangGraphLangChain+2

Code Live Demo

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WhatsApp Lead Automation

A full-stack platform for large-scale WhatsApp outreach — dual-mode connectivity (QR or Meta Business API), scheduled campaigns, lead management with tagging, and real-time delivery analytics, all from a single dashboard.

Next.jsFastAPIPostgreSQLNode.js+2

Code Live Demo

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OmniChat Pro

A high-performance conversational AI platform with RAG-lite document processing, real-time response streaming, live token cost tracking, and a premium adaptive UI — all in a strictly modular Streamlit architecture.

PythonStreamlitOpenAI APIPyPDF+1

Code Live Demo

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Self-Driven Car

A neuroevolution simulator where AI learns to drive using NEAT — evolving neural networks across generations through mutation, crossover, and speciation. A 9-input network (8 ray-cast sensors + velocity) learns steering and acceleration with zero explicit rules.

PythonNEATPygameStreamlit+1

Code Live Demo

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MLInsights

Upload a dataset, get a trained ML model — no code needed. Auto-trains 30+ classification, regression, and clustering models, compares performance side-by-side, and exports cleaned data, model files, and PDF reports.

Next.jsFastAPIScikit-learnXGBoost+2

Code Live Demo

AlgoVisualiser

An interactive DSA learning platform that animates 70+ algorithms step-by-step — with playback controls, adjustable speed, and dark/light mode. Covers everything from sorting and graphs to dynamic programming and backtracking.

Next.jsTypeScriptFastAPITailwind CSS+1

Code Live Demo