S

Streamlit

SmartSave is an AI-powered multilingual expense tracker that helps students build better financial habits through analytics, gamification, and local AI assistance.

AI-powered study assistant — chat with your notes or take a quiz. Runs locally with Ollama. Free, offline, no API key needed.

FarmDirect - Broker-free farmer marketplace built with Streamlit and Python

Lightweight local-first RAG chatbot built with Streamlit, Ollama, ChromaDB, SQLite, and local quality checks.

StudySync AI is a Streamlit-based student productivity platform for managing assignments, attendance, exams, notes, and academic analytics.

Smart Food Finder is a preference-based restaurant recommendation platform that helps users discover nearby dining options using their location, budget, cuisine preferences, and dining style.

Weather wear is a smart outfit recommender that fetches real-time weather data for any city and uses AI to suggest the perfect outfit for your style and the conditions outside. Supports casual, formal, outdoor, and date night styles.

Local-First Document Q&A with RAG using Ollama — Find-Retrieve-Answer pattern

AI-powered Marks Calculator built with Streamlit. Supports student management, marks analysis, multilingual support, and automated reporting.

A Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, LangChain, FAISS, and sentence-transformers. Upload PDFs and ask questions using Gemini or local Llama.cpp LLMs.

A production-ready Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, LangChain, Google Gemini, and ChromaDB. Upload PDFs and ask questions — the system retrieves relevant document chunks and answers using Gemini's LLM.

Smart Emergency Resource Locator for disaster response and emergency assistance.

Failure Archive is a platform that documents and analyzes real-world failures—including startups, products, policies, inventions, and business decisions—to help users learn why they failed, extract key lessons, and discover strategies for turning similar ideas into successful ventures. It serves as a knowledge hub for entrepreneurs, students, researchers, and innovators by transforming failure stories into actionable insights and learning opportunities.

Opportunity Radar is an AI-powered platform that discovers startup opportunities, analyzes market trends, and helps entrepreneurs identify high-potential business ideas.

Public Transport Feedback System is a Python-based application that allows users to submit, view, and manage public transport feedback with CI/CD, testing, and code quality tools integrated. Public Transport Feedback System using Python (Streamlit + SQLite). Includes CI, linting, security scanning, and Spec-Kit structured development.

newhackathon-qlhmvw7jv34agekacwf76n.streamlit.app

Team-Quiz is an intelligent, Python-based educational platform that transforms how teams learn by automating the creation of custom assessments. Featuring a robust data-ingestion pipeline, the application dynamically decodes various file formats like PDFs and CSVs, leveraging an integrated AI engine to extract core concepts and instantly generate targeted question-and-answer quizzes. This allows users to simply upload their raw study materials or data instead of manually writing tests, dramatically streamlining the knowledge assessment process. Under the hood, the project is engineered with a strict focus on DevOps compliance, utilizing containerization and automated CI/CD security standards to ensure a highly reliable, production-ready environment.

Fully offline document Q&A system using PyMuPDF4LLM, Ollama, and llama.cpp. Dual LLM backend with pre-commit quality gates.

MedMinder is a smart medicine reminder application designed to help users take their medications on time and maintain a healthy routine. Many people, especially elderly patients and individuals with busy schedules, often forget to take medicines regularly, which can lead to health complications. MedMinder provides an easy and accessible solution to this problem through reminder notifications, voice-guided alerts, and medication tracking.

The application allows users to add medicine schedules by entering medicine names, dosage details, and reminder times. At the scheduled time, the app sends browser notifications along with voice-guided instructions to remind users to take their medication. The interface is designed with accessibility in mind, featuring large high-contrast buttons and a simple layout to support elderly and visually impaired users.

MedMinder also includes a medication history tracker that records whether medicines were taken or missed. This history can be shared with caregivers or family members to help monitor the user’s medication routine. The project focuses on improving healthcare management using simple web technologies while providing a user-friendly experience.

The application is developed using HTML, CSS, and JavaScript, along with browser APIs such as Notifications API and SpeechSynthesis API for reminders and voice assistance.

AI-powered Smart Hospital Complaint Management System built with Streamlit, Pandas, and NLP.