AI Based Dashboard for Swachhta and LiFE: Swachhta and LiFE Dashboard brings in an innovative approach for cleanliness and sustainable practices tracking and managing within post offices. By integrating image processing through AI with data management on a single platform, it provides real-time oversight over environmental standards and cleanliness parameters. Multiple post office locations can be tracked by the divisional officers, sending automatic alerts that fall short of prescribed standards, prompting immediate corrective actions to maintain compliance with Swachh Bharat and green growth initiatives.
Lost Child Finder: Lost Child Finder is a web-based application designed to locate missing children using facial recognition and real-time location tracking. Using the Azure Face Match API, the system matches uploaded photos against a pre-existing database. If a match is found, the nearest police station is instantly alerted with the location and child details. In case no match is found, the system still generates an alert to notify authorities.
MetaCrypt: A lightweight web based Network Intrusion detection system: MetaCrypt is the web based lightweight NIDS, to detect unauthorized access or malicious IPs in real-time. Built in Python and SQLite3, it is tasked with watching network traffic aimed at client systems and catching phishing attempts through a hardcoded blacklist of suspicious IP addresses.
Carbon Detection and upscaling: This eco-friendly project aims to reduce atmospheric CO₂ levels through an efficient capture and storage system. Sensors monitor CO₂ concentration, and once it exceeds a set threshold, a carbon capture module is activated. Polluted air is directed through a Monoethanolamine (MEA) solution, which absorbs CO₂ at around 90°C by forming a temporary bond. The cleaned air is then released back into the environment. The CO₂-rich MEA solution is subsequently heated to release pure CO₂, which is collected and stored for various applications. Captured CO₂ can be reused in the production of chemicals such as urea, salicylic acid, polycarbonates, methanol, and dimethyl carbonate (DMC). Additionally, CO₂ can support microalgae cultivation, enabling the production of biomass used in biofuels, animal feed, and nutritional supplements. The versatility of stored CO₂ also extends to the aviation industry, where companies like United Airlines are investing in technologies to produce sustainable jet fuels from liquid CO₂. This project contributes to carbon footprint reduction and promotes innovative reuse of captured carbon.
Direct Market Access Mobile App for Farmers with AI-Based Quality Monitoring and Transaction Support : This project aims to revolutionize agricultural marketing by giving direct access to buyers to farmers through a user-friendly platform. The app closes the gap between the producers and the consumers, eliminating middlemen, who in most cases, absorb up to 60% of the profits. Our platform does this for just 10%, keeping farmer income high and delivering fresh, cheap produce to buyers.
Smart Agriculture Information System : Give a makeover to the way farmers get critical farming information through our AI-infused web-based Agriculture Information System! This platform is designed with the farmer at the center and bridges knowledge gaps that exist between the farmer and solutions offered by 21st-century farming.
Mindful AI : Mindful AI is an adaptive mental health platform that caters to emotional well-being through wise journaling, sleep monitoring, mood insights, and responsive AI interactions. Developed on React.js, TypeScript, Tailwind CSS, and Node.js, the platform utilizes reinforcement learning (RL) to dynamically customize content, tone, and motivational encouragement based on user behavior and mood patterns. The platform incorporates interactive features like a voice/text input gratitude journal, mood-based quote recommendations, and confetti animations to develop a soothing user interface. A live sleep tracker dashboard mimics data from wearable devices, providing insights through visual analytics and estimating sleep scores. The inbuilt chatbot and Encyclopedia section provide mental health assistance and redirect the users to external resources if necessary. Aspects such as RL-based recommendation systems increase user interaction by making daily habits and activity recommendations personalized. The system is made accessible to all users, independent of age or technical sophistication, inducing regular mental health routines through deliberate design and AI-generated feedback loops. Mindful AI is an integrated, data-based approach to mental well-being, where technology and psychology are merged to create improved self-understanding and emotional equilibrium.