Product@scaledojo

Simanta Sarma  • Peerlist

• Developed Acadence, a full-stack academic attendance management system using Next.js, React, Tailwind CSS, Supabase, and role-based authentication. • Implemented attendance tracking, analytics dashboards, and a responsive UI for efficient academic data management.

Acadence | Next.js, Tailwind CSS, Supabase

Developed an AI-powered Video Assistant that transcribes YouTube videos and local media files using OpenAI Whisper (English) and Sarvam AI (Hindi/Hinglish). Implemented a RAG pipeline using LangChain, ChromaDB, Sentence Transformers, and Mistral AI to generate summaries and enable conversational Q&A over video transcripts. Built both a CLI and Streamlit-based web application for end-to-end video intelligence and knowledge retrieval.

AI-Video-Assistant

Currency Converter A real-time currency conversion application - Developed a web-based currency converter using JavaScript. - Integrated an API for fetching live exchange rates. - Implemented a user-friendly interface for seamless conversions. - Ensured fast and accurate calculations with a lightweight design.

Currency-converter

A decentralized supply chain tracking application built on the Internet Computer Protocol (ICP) using Next.js and Rust. This application allows users to register products, track their supply chain journey, and view analytics through a secure, blockchain-based system. 🌟 Features - Product Registration: Register products with detailed information on the blockchain - Supply Chain Tracking: Track products through their entire supply chain journey - Real-time Analytics: View comprehensive analytics and insights - Internet Identity Authentication: Secure authentication using ICP's Internet Identity - Decentralized Storage: All data stored securely on the Internet Computer - QR Code Generation: Generate QR codes for easy product tracking - Dashboard Management: Manage all your registered products in one place

ICP-SupTrus

Landing Page – E-commerce - Designed and developed a modern, responsive landing page using React.js, Vite, and Tailwind CSS. - Optimized for performance and SEO, ensuring a fast and smooth user experience. - Implemented reusable components, improving code maintainability and scalability. - Configured PostCSS and ESLint for optimized styling and code quality. - Deployed the project on Vercel, enabling seamless accessibility.

Landing page

Developed a Multi-Agent Research System using Python, Streamlit, LangChain, and Google Gemini to automate research, information gathering, analysis, and report generation. Designed a modular multi-agent architecture with specialized AI agents collaborating through a workflow pipeline to perform complex research tasks efficiently. Built an interactive Streamlit interface and integrated Gemini-powered reasoning to deliver structured insights and actionable outputs.