I work at the intersection of technology, startups, and art with a growing focus on conscious systems.

github

Abhinav Reddy • Peerlist

▪︎ Developed an AI-powered solution for workflow and efficiency enhancement in Indian BPOs for the EY Techathon 5.0. ▪︎ Focused on automating routine tasks and streamlining workflows to address manual inefficiencies and fragmented knowledge bases. ▪︎ Implemented real-time AI-driven insights, including sentiment analysis and intelligent call routing, to enhance customer interactions and agent productivity. ▪︎ Designed features for smart AI summarization, prioritizing customer cases, and optimizing data retrieval for policy validation and call scheduling. ▪︎ Aimed to improve key metrics such as Average Handling Time (AHT), Customer Satisfaction Score (CSAT), and First Call Resolution (FCR).

AI for BPO

Welcome to the future of retail management with our AI-powered Retailer Dashboard. This innovative solution, built on the foundation of Django backend, Firebase database, and OpenAI API, offers retailers a comprehensive toolkit. Efficiently manage inventory, delve into customer analytics, and execute targeted marketing campaigns with ease. The AI capabilities embedded in the system provide invaluable market trend analysis, enabling retailers to make data-driven decisions for optimal restocking strategies. View the project deployment here: https://easyretail.vercel.app/ Project Description: 1. Comprehensive Inventory Management: Our Retailer Dashboard employs image-based solutions for precise inventory control. Generate and recognize QR codes specific to each object, ensuring accuracy in tracking and managing stock, while streamlining the entire inventory process. 2. Customer Analytics: Unlock valuable insights into customer behavior with advanced analytics tools. Identify preferences, buying patterns, and demographics to tailor your retail strategies, fostering enhanced customer satisfaction and loyalty. 3. Automated Marketing Campaigns: Streamline marketing efforts with automated campaigns. Leverage AI algorithms to target specific customer segments, enhancing the efficiency of promotions and engagement, ultimately boosting your overall marketing effectiveness. 4. Market Trend Analysis: Stay ahead of the competition by utilizing AI for real-time market trend analysis. Receive intelligent insights into industry trends, enabling you to make informed decisions and adapt your retail strategies swiftly to evolving market dynamics. 5. Optimized Restocking Decisions: Enhance decision-making confidence with AI-driven insights for restocking. Analyze historical data, current inventory levels, and market trends to receive recommendations for optimal restocking, reducing costs, and minimizing the risk of stockouts.

AI Powered Dashboard for Retailers

This project implements a chatbot interface that enables users to interact with a tabular database via natural language queries. The chatbot processes these queries, formulates appropriate SQL statements, and retrieves information from the database, presenting it in a user-friendly manner.

DBot

Global Entrepreneurship Summit (GES) is IIT Kharagpur's annual, international corporate summit conducted by Entrepreneurship Cell, IIT Kharagpur. It is India's largest student-run entrepreneurial summit, GES has always been a unique platform for academicians, new-age entrepreneurs, eminent business personalities, venture capitalists, and students to gather in one place and share their entrepreneurial endeavors and experiences, as well as pledge to take entrepreneurship to greater heights, since its inception in 2007. Visit the website to know more: https://ges.ecell-iitkgp.org Project Description 1. This project aims to develop a comprehensive registration portal for the summit. The portal caters to multiple user types, including students, campus ambassadors, professionals, and startups. Each user type is assigned a personalized dashboard with specific functionalities tailored to their needs. 2. Vue.js powers the frontend, providing an intuitive and responsive user interface, while Django serves as the robust backend framework. The interaction between the frontend and backend is facilitated through a RESTful API, ensuring seamless communication. 3. To secure user interactions, the project employs JSON Web Tokens (JWT) for authentication, adding an extra layer of security and authentication. This enables secure access and ensures the integrity of user data throughout the registration process. 4. For data management, the project utilizes the MySQL database, a reliable and scalable solution. This choice ensures efficient storage and retrieval of information, contributing to the overall performance and reliability of the registration portal. 5. In summary, the combination of Vue.js, Django, RESTful API, JWT authentication, and MySQL database forms a powerful and integrated technological foundation for the success of the Global Entrepreneurship Summit's registration portal.

Global Entrepreneurship Summit (GES) | Regist

It's a tailor-made judging dashboard exclusively crafted for Empresario, IIT Kharagpur's annual business model competition. Ensuring user-friendly navigation, scalability, and real-time updates, it incorporates mobile responsiveness, customizable scoring, multimedia integration, and detailed startup profiles. Prioritizing security, a feedback mechanism, and post-event analytics have been seamlessly integrated for a refined and efficient judging process. Project Description: 1. Developed using Django, HTML, CSS, and MySQL, the portal is a robust platform for Empresario, allowing seamless integration and efficient data management. 2. Admins have the capability to populate entries, assign panels, and manage crucial information, streamlining the organizational aspects of the business model competition. 3. Judges within designated panels leverage the platform to assess startups, considering various parameters, each with its own assigned weightage, ensuring a comprehensive evaluation process. 4. The judging process concludes with normalization among panels, guaranteeing accuracy and fairness, and contributing to the credibility of the overall assessment.

Judging Portal | Empresario

Entrepreneurship Cell, IIT Kharagpur, is the largest student-run non-profit organisation, which works with the aim of fostering innovation and entrepreneurship. With 200+ successful startups incubated from IIT Kharagpur in less than 15 years since our inception, we aim to provide students with all the support they require for starting up, training, mentorship, incubation, patenting, and funding. The ultimate mission is to inspire an increasing number of students to startup on their own and to promote such ventures, widely through events, workshops, and competitions. Project Description: 1. Unified User Experience: The Entrepreneurship Cell, IIT Kharagpur registration portal demonstrates a seamless and unified user experience by integrating three distinct initiatives – Entrepreneurship Awareness Drive (EAD), Local Startups Meet (LSM), and Empresario. The implementation allows users to register for any of these initiatives with a single set of credentials, fostering a cohesive and user-friendly environment. 2. Scalable and Extensible Architecture: Built on the Django framework, the registration portal boasts a robust and scalable architecture. The portal efficiently manages a single user base while extending user profiles based on the specific initiative they register for. This scalable design ensures the portal can easily accommodate future initiatives or enhancements without compromising performance. 3. Responsive and Accessible Frontend: The frontend of the registration portal, developed using plain HTML, CSS, and JS, reflects a commitment to user accessibility and responsiveness. The portal is designed to provide an optimal viewing and interaction experience across various devices and screen sizes. This responsiveness enhances user engagement by allowing participants to access the portal on desktops, tablets, or smartphones.

Registration Portal | Entrepreneurship Cell, 

We're dedicated to bridging the gap between students and professors, offering a comprehensive academic exploration and collaboration platform. Project Description: 1. Developed a professor listing website using Supabase and Django to facilitate student access to research intern opportunities, reaching an audience of over 10,000 viewers. 2. Implemented custom web scraping scripts tailored to multiple college websites to gather comprehensive professor data, accumulating 1600+ profiles. 3. Organized and presented the collected data in a searchable format on the website, enhancing user experience by facilitating efficient filtering of requirements. 4. Optimised website content and structure for improved search engine visibility, resulting in a top 3 ranking on Google search results for relevant queries.