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Streamlit

AI-powered open-source repository onboarding assistant that analyzes GitHub repositories and provides onboarding guidance using Gemini and Ollama.

AI Travel Planner is a Streamlit-based web application powered by Google Gemini AI that helps users plan trips effortlessly. By entering a destination, budget, trip duration, and interests, users receive a personalized itinerary, budget breakdown, interactive maps, and AI-powered travel recommendations, making travel planning faster and more convenient.

A Streamlit-based research paper assistant that uses AI (RAG + PyMuPDF4LLM) for document summarization, Q&A, and multimedia analysis with local-first inference via Ollama.

Local-first RAG chatbot for university documents using PyMuPDF4LLM, FAISS, Groq and Llama.cpp.

Streamlit PDF RAG chatbot

AI Medicine Manager is an AI-powered healthcare application that helps users manage medications, track adherence, scan prescriptions using OCR, analyze drug interactions, and understand medical documents through RAG-based Document_QA. The platform supports multiple AI providers and multilingual access in English, Hindi, and Telugu

Resume Analyzer is an AI-powered web application that parses uploaded PDF resumes to instantly evaluate their ATS compatibility and formatting. It provides users with a dynamic strength score, flags missing sections, and delivers actionable feedback to turn passive text into high-impact, measurable achievements.

Scheme Hub address the social and economic welfare of the citizens of this nation.

AI-powered document chatbot with RAG, FAISS vector search, OCR support, Local AI (Ollama), and BYOK integrations for Gemini and Groq.

Exam Hub is a TypeScript based online examination management system used to create, manage and conduct exams.

AI Expense Tracker is a smart personal finance management application that helps users track, categorize, and analyze their daily expenses using Artificial Intelligence. The application enables users to record transactions, monitor spending habits, and gain valuable financial insights through interactive dashboards and AI-powered analytics.

Unlike traditional expense trackers, this platform uses AI to automatically categorize expenses, identify spending patterns, generate personalized savings recommendations, and answer finance-related queries through a conversational interface. Users can upload receipts, manually enter expenses, or import transaction data for seamless expense management.

The application supports both cloud-based AI models and local AI inference solutions such as Ollama, allowing users to maintain privacy while benefiting from intelligent financial analysis. It also provides a Bring Your Own Key (BYOK) option, enabling users to connect their preferred AI providers using their own API keys.

The AI-Driven Crop Disease Prediction and Management System is an intelligent agricultural platform designed to help farmers detect, analyze, and manage crop diseases at an early stage using artificial intelligence and computer vision.

The system allows users to upload images of crops or capture them in real time through a camera. Using advanced deep learning and image processing techniques, the model identifies diseases affecting leaves, stems, or fruits and provides accurate predictions along with confidence scores.

Beyond detection, the system goes further by offering actionable agricultural insights, including treatment recommendations, preventive measures, pesticide suggestions, and crop care guidance. This transforms the application from a simple detection tool into a complete decision-support system for farmers.

The platform can also integrate weather data, soil conditions, and historical crop patterns to improve prediction accuracy and provide context-aware suggestions. A user-friendly dashboard ensures that farmers and agricultural experts can easily interpret results without technical complexity.

Key Features: 🌿 Real-time crop disease detection using image input 🧠 AI-based classification of plant diseases 📊 Confidence score and severity analysis 💊 Treatment and prevention recommendations 🌦️ Optional integration with weather and soil data 📱 Simple and accessible web/mobile interface 📈 Analytics dashboard for crop health monitoring Objective:

To empower farmers with early disease detection and smart recommendations, reducing crop loss, increasing yield, and enabling data-driven agriculture.

Offline, CPU-first AI that transforms unstructured documents into structured, searchable data using local language models.

this is the hackathon project about getting medicines in less cost

RescuePaw is an AI-powered animal rescue and welfare platform designed to help citizens report, track, and assist stray, injured, or abandoned animals in their communities. The application streamlines the rescue process by allowing users to submit reports with details such as location, category, and description, enabling faster response and coordination.

Offline-first, CPU-first AI reader companion that narrates and analyzes stories locally using Ollama and structured feedback JSON.

This is a journaling website made by me, all the related files are in this repo

SoundScape is an intelligent music discovery and streaming application that helps users explore songs based on mood, genre, and personalized recommendations through an immersive user experience.

What it is: A compact AI-enhanced study companion that helps learners organize notes, build flashcards, create quizzes, run focused Pomodoro sessions, and track study progress with simple analytics. Key Features: Note manager; Flashcard decks with study mode; Interactive quiz creator and grader; Pomodoro timer for focused sessions; Goal tracking and session analytics; Export notes. Benefits: Boosts retention with active recall and spaced practice, structures study time, surfaces measurable progress, and reduces friction for everyday study workflows. Target Users: Students, self-learners, tutors, and lifelong learners seeking an easy-to-use, data-driven study workflow. Call to Action: Try it locally to organize study sessions, convert notes into flashcards, and measure improvement over time.