The AI Chatbot for College Enquiry System aims to automate the process of handling student and parent queries regarding college information such as admission procedures, course details, fee structure, faculty information, placement data, campus facilities, and more. Built using Rasa (an open-source conversational AI framework) and Python, the chatbot provides instant, accurate, and 24/7 responses to commonly asked questions, thereby reducing the workload on administrative staff and improving user experience. The system can be deployed on a website or college portal, ensuring seamless communication with stakeholders.
The Organ Donation Tracking System is a web application that helps manage organ donors, recipients, and organ donation requests. The system ensures transparency, facilitates tracking, and provides notifications for timely organ matching. It allows admin control, donor and recipient registration, and request monitoring. Key Features: • Donor registration with health details. • Recipient registration with organ requirements. • Admin dashboard to monitor all donors, recipients, and donation requests. • Status tracking for organ donations. • Search for matching donors for recipients. • Notifications for successful matches.
ReadNotify-Pro (minimal implementation) — A web application that allows users to send emails instrumented with a unique tracking pixel. When the recipient opens the email, the pixel loads from the app and the event (timestamp, IP, user agent, referer) is logged. Senders can view delivery and open history through a dashboard, retract messages, and configure self-destruct/expiry for an email. Primary goals: simple integration with existing SMTP providers (Gmail/SendGrid), accurate open logging, and admin control for sent messages.
Hate speech on online platforms poses serious risks by promoting discrimination, harassment, and violence. Traditional keyword-based or rule-based systems are limited, as users often obfuscate offensive words (e.g., “1di0t”), mix languages, or use indirect expressions. To address this, the project proposes a deep learning-based fusion model that combines multiple textual representations—transformer-based embeddings, character-level encodings, and handcrafted linguistic features—to improve robustness and accuracy in hate speech detection. The system applies Natural Language Processing (NLP) and deep learning fusion techniques to classify text into categories such as hate speech, offensive, or normal. The model is deployed as a web application, providing a user-friendly interface where users can input text and receive real-time detection results. This ensures more effective content moderation, safer digital spaces, and support for multi-lingual or code-mixed data.
In the era of cloud computing and large-scale data sharing, organizations face the risk of data leakage due to insider threats, unauthorized access, or accidental sharing. Traditional access-control methods cannot fully prevent leaks, especially when authorized users intentionally misuse data. To address this, the project proposes a dual-layer protection system that integrates digital watermarking and cryptography. Sensitive data is first encrypted for confidentiality and then embedded with an invisible watermark that uniquely identifies the authorized recipient. If the data is leaked, forensic analysis of the watermark reveals the source of the leak. This combination ensures data confidentiality during transmission and accountability in case of breaches. The system will be deployed as a web-based platform, enabling secure data upload, encryption, distribution, and leakage detection with traceability.
As cryptocurrency adoption grows rapidly, secure and user-friendly tools to store, send, and receive digital assets are essential. This project focuses on building a Python-based Cryptocurrency Wallet that allows users to generate public/private key pairs, manage wallet balances, and securely send/receive crypto transactions via blockchain networks. This wallet will interface with existing blockchains (like Bitcoin or Ethereum) using APIs and libraries, providing a simple UI to manage digital funds securely. The system ensures wallet creation, key security, transaction integrity, and real-time balance checks.
