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multilingual

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

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

SafeRoute AI is a machine-learning-powered road safety platform that predicts accident blackspots, analyzes route risk, and recommends safer travel routes using FastAPI, Next.js, SQLite, and XGBoost.

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.

book waste management system

live link : https://study-sprint-ai.vercel.app/

PulseLink is a blood donor matching platform that connects patients with nearby compatible donors during emergencies. Built using React, FastAPI, and MySQL.

RideSync is a full-stack ride-sharing web application that connects drivers and passengers traveling in the same direction, helping users reduce travel costs, save time, and promote sustainable transportation.

DeepFake Shield is an AI-powered platform designed to detect and analyze manipulated digital media, including images, videos, and audio. The system uses machine learning and forensic analysis techniques to identify deepfakes, synthetic content, and media tampering. It provides users with trust scores, authenticity reports, real-time alerts, and both online and offline analysis capabilities, helping individuals, organizations, and law enforcement combat misinformation and digital fraud.

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

TravelSathi is an AI-powered travel planning assistant developed for the Swecha Hackathon. It combines Retrieval-Augmented Generation (RAG), offline local language models (via Ollama), and multilingual support to generate personalized itineraries, budget estimations, local phrases, and destination recommendations.

Streamlit assistant for classifying Hyderabad civic issues, routing complaints, and drafting formal civic complaint letters.

Utsav Kathalu is a web application built with Streamlit for collecting and organizing festival stories in multiple Indian languages. Users can submit stories as text, attach images for each section, and view the content as an interactive virtual book. The platform aims to preserve and present cultural narratives in a structured and user-friendly format.

AI Chat Assistant is a conversational platform built using Streamlit, designed to integrate multiple Large Language Models (LLMs) such as Ollama (local hosting), OpenAI, and Google Gemini. The system provides a flexible interface for seamless interaction across different models while supporting customization through fine-tuned domain-specific datasets. Its architecture emphasizes scalability, multilingual support (including Indic languages), and accessibility, making it suitable for both personal productivity and enterprise use.

This project is a real-time voice translator web application built with Streamlit. It captures live speech input via microphone, recognizes the spoken text using speech recognition, translates it to a selected target language via machine translation, and plays back the translated audio using text-to-speech synthesis. The app supports multiple languages, provides start/stop controls for continuous conversation flows, displays original and translated text, allows editing of transcriptions, and enables exporting of recordings and analysis. It aims to facilitate accessible, multilingual communication and contribute to language corpora for research purposes.

A creative Telugu dream journaling web app that allows users to write, rewrite, tag, and share dreams in poetic or story formats.

AI/ML-based tool that predicts the likelihood of diabetes using medical parameters such as glucose, BMI, age, and blood pressure.

The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.

The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.

A family recipe sharing app built with Python for managing and sharing recipes across family members.

SwechaBot: A conversational AI chatbot built with Streamlit, Hugging Face Transformers, and Torch