AI/Full-Stack Developer · Legalyze (RAG · Legal AI) · Python | React | LLMs

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Dhruv Suthar  • Peerlist

I built an AI-powered data analytics studio from scratch. Most people open Excel, struggle with formulas, and still cannot answer basic questions about their own data. That frustration led me to build Analytica. Here is what it does: - Instant column profiling detects data types, quality scores, and completeness - AI Insights  automatically surfaces highlights, watchouts, and suggested next questions - Chart Studio switch between Bar, Line, and Area charts with live metric selectors - Ask AI  type a plain English question like "Which region has highest revenue?" and get the answer instantly - Live data preview filter and explore rows without any configuration The "Ask Your Data" feature is my personal favourite — it is essentially a data analyst living in your browser. GitHub: https://lnkd.in/gbha4Hei If you work with data regularly, I would genuinely love your feedback. #buildinpublic #AI #DataAnalytics #GenAI #React #OpenToWork #MachineLearning #WebDevelopment

AI-powered data analytics studio

Designed and built a full-stack RAG pipeline that ingests legal contracts and flags high-risk clauses — reducing manual review effort for test users by identifying 20+ clause types automatically. Integrated digital signature workflows and production-grade middleware (auth, rate limiting, error handling) — making it demo-ready for hackathon judges and real clients. Generated synthetic high-risk test contracts to validate detection accuracy across 5+ document categories before final presentation.

Legalyze: AI-Powered Contract Intelligence an

Excited to share my latest project — Lexica 🗄️ A natural language to SQL interface that lets you query your database in plain English. No SQL knowledge required. How it works: - Type a question like "Show all employees with salary above 50000" - Lexica generates production-ready SQL instantly using Groq LLM - Results render in a clean, paginated table with export support - Schema-aware: the LLM introspects your database so queries are always accurate - Every query runs read-only — no accidental writes, ever Key features built: - Neural Query Interface with real-time suggestions - Engineered SQL preview before/after execution - Query history with success/failure tracking - Dark and light mode support - Export dataset functionality Tech stack: React, FastAPI, Groq LLM, SQLite/PostgreSQL Built this to make database exploration accessible to non-technical users and faster for developers.

Lexica

Developed a real-time AI-powered platform to detect and prevent toxic and abusive language in digital communication. • Detects harmful and abusive text in real-time using AI models • Handles obfuscated text patterns (e.g., h@te, !d!ot) for better accuracy • Built moderation system with admin dashboard for monitoring content • Designed backend APIs for real-time processing and response Focused on improving online safety by enabling intelligent and scalable content moderation systems. Tech: FastAPI, React, OpenRouter AI, Tailwind CSS