Readlytic is a community-driven platform designed for book lovers to discover, review, and connect over their favorite reads. We built Readlytic during the Build With AI Hackathon, organized by GDGC GGITS, where teams were challenged to create innovative products using Generative AI and Google technologies within just 2 days.

Out of 76 participating teams, we were proud to be shortlisted among the Top 12, gaining not just recognition but also invaluable experience, insights into GenAI trends, and the thrill of building something meaningful under pressure.

Meet the Team

Harsh Ahuja

Abhiyanshu Sharma

Anukriti Baruaole

Annanya Shivhare

ExAlumnos is built for students and alumni who want more than a forgotten WhatsApp group. At its heart is the dashboard—a homepage anyone can post, share, and scroll through what others are saying. Every user has a profile, every voice has space. A general chat keeps conversations flowing, while admin verification keeps the community real.

The alumni directory makes it easy to search by year, branch, or industry. With job listings and event updates too, ExAlumnos turns casual connections into real opportunities—and keeps the network truly alive.

This platform simulates real-time stock trading using live prices, giving users a $10,000 virtual balance to manage. Users can buy/sell stocks, track their portfolio, and review transaction history—all without spending a dime.

It was built as part of CS50x from Harvard, using Flask, Jinja templates, and SQLite3 for secure data handling. Every feature—from stock lookup via API to hashed passwords—was developed independently as part of the course's finance problem set.

Whether you're just curious about the stock market or want to test your strategies, this project offers a safe and engaging environment to practice.

Developed an intelligent chatbot powered by Artificial Intelligence Markup Language (AIML), designed to simulate human-like conversations with contextual awareness. The chatbot is capable of maintaining short-term memory within sessions, enabling more natural and continuous interactions.

It also features integration with real-time search services like Google, Wikipedia, and Maps, allowing it to retrieve up-to-date information on demand.

Created a mobile-based Intruder Detection App designed to enhance device security through intelligent monitoring. The app tracks and detects multiple incorrect password attempts and instantly captures the intruder’s photo using the front-facing camera.

It then sends an automated email alert to the device owner with the image and timestamp, enabling real-time awareness of unauthorized access attempts.

Built with a focus on privacy and protection, the app showcases practical use of device sensors, background processes, and email automation to deliver a lightweight yet powerful security solution.