12
8
India
1 year of experience
Currently working as an AI/ML Engineer at Ally and making robust AI conversational Co-pilot CRM. Experience : 1-)Worked as Full Stack Developer in immer(US Remote) as Full Stack Developer, made music backend system using Nest.js. 2-) Open source contributor in Social Summer of Code 3-) Worked as Full Stack Developer inZummit Infolabs 4-)Software Engineering Fellow in Headstarter AI. Currently doing deep Research in NLP Techniques, RAG systems and ML/DL Algorithms. Student at National Institute of Technology Jamshedpur INDIA
We have built an AI Health Diagnostic App to help people to get to know about their health condition, diagnosis or any advice until they get to meet professionals. Often times, from my own experience people are waiting on the queue to get medical service. In most times, you need to pay in order to get high quality medical service or to get the fastest service without the queues. This is just the prototype of the AI app that could be helpful for patients. We have used Gemma 2, Groq api keys. The app was built on front-end and back-end technologies using streamlit and uvicorn, which is a asynchronous server gateway interface server for Python web applications, for example for frameworks like FastAPI.
11 Dec 2024
Problem Job seekers struggle with interview preparation, resume optimization, and improving their LinkedIn profiles. Existing tools lack personalization and actionable feedback. Solution AI Career Navigator uses intelligent agents to help users with: Interview question generation Resume screening LinkedIn profile optimization Technical problem-solving Market Size The global online recruitment market was valued at $28.68 billion in 2021, with significant growth expected. Millions of job seekers require smarter tools to improve their career opportunities. Revenue Stream Freemium Model: Basic features are free, while advanced agents are part of a premium subscription. Subscription Plans: Monthly/annual for premium features. Partnerships: Collaborations with recruitment platforms. Next Steps/Backlogs Expand AI agents to cover more job roles. Integrate job-matching features. Launch a mobile version.
16 Sep 2024
AskAway: An AI-Powered Survey Application for Intelligent Data Collection and Analysis Introduction: AskAway is an innovative AI-powered survey application that transforms the way surveys are designed, distributed, and analyzed. Aimed at various sectors like healthcare, finance, education, and business, AskAway not only simplifies survey creation but also generates valuable insights from the collected data. With AskAway, businesses can make informed, data-driven decisions, helping them improve customer satisfaction, operational efficiency, and overall performance. Core Features of AskAway: 1. AI-Powered Survey Creation At the heart of AskAway lies its AI capabilities, which fundamentally change how surveys are created. Instead of relying on generic, manually curated questions, AskAway uses AI algorithms to suggest relevant questions based on the purpose of the survey Adaptive Questioning: AskAway goes beyond static survey templates. It employs dynamic question generation, where the AI tailors subsequent questions based on previous answers. This creates a more personalized experience for respondents, leading to better engagement. 2. Customizable Templates for Various Sectors AskAway understands that one size does not fit all. Different industries require different types of surveys, and AskAway delivers pre-built templates designed for various sectors, including healthcare, finance, education, business, and more. For example: Healthcare: Templates designed to measure patient satisfaction, clinical outcomes, and staff performance. Finance: Templates for gauging client preferences, assessing market trends, and investment strategies. Business: Templates for customer feedback, product satisfaction, and employee engagement surveys. These templates can be customized to fit specific needs, allowing users to add or remove questions, change the layout, and incorporate branding elements like logos, color schemes, and typography.
13 Oct 2024
I am building Investory with a vision to create a one stop platform for young generation to manage their Financial assets and how well they can plan their pocket money. The students on basis of their financial status can plan that how they can use their money effectively and how they should invest their money. In Long run i will try to make it somewaht intermediate between a stock market application but again laying more emphasis on investment part. In Investory we have used Llama models for developing two features . One using llama-3.2-11b-vision-preview model for classifying image and other using llama3.2:1b model for generating rag model for chatting with Financial Document. These two features are simple preview of the application i am building . Will try to enhance it more in new feature.
20 Oct 2024
The AI-Driven Tax Assistant is a comprehensive application designed to simplify and streamline tax filing for individuals and small business owners alike. Navigating tax requirements, understanding deductions, and ensuring compliance with the latest tax laws can be challenging and time-consuming. This app aims to make the tax process more accessible, accurate, and efficient. By leveraging artificial intelligence, the Tax Assistant provides users with step-by-step guidance through each section of their tax return, offering insights into eligible deductions, credits, and compliance checks to maximize savings and minimize errors. Users can upload tax documents—like W-2s, 1099s, and receipts—and the app analyzes them, suggesting areas for potential deductions and providing up-to-date regulatory insights. The Tax Assistant includes powerful features tailored to different filing needs. For instance, a Writing Module allows users to enter specific topics, and the app generates structured, clear content for tax documentation, ensuring all entries align with tax requirements. It even provides metrics on grammar, cohesion, and vocabulary to enhance document clarity. Additionally, the Speaking Module enables users to record spoken notes or expenses, which the app then transcribes and analyzes to uncover relevant tax deductions. These modules help users document their tax information accurately, improving compliance and increasing potential savings. To make filing taxes as smooth as possible, the app features a user-friendly interface and smart metrics reporting. Uploaded documents are organized automatically, and the app provides feedback on potential issues or missing information, along with personalized filing recommendations for diverse tax situations. The Tax Assistant employs advanced AI capabilities to adapt to unique tax situations. It utilizes natural language processing and robust data analytics, delivering personalized responses, explanations, and guidance.
11 Nov 2024
Under the larger scope, I aim to address the issues associated with long and tedious telephonic calls, which often lead to frustrated clients. To tackle this problem, IBM Watsonx Assistant provides a powerful and efficient solution for creating conversational bots that can be retrained using their own data. These bots can be utilized to address challenges across various industries, such as Banking and Financial Services, Bill Payments, Telecommunications, Healthcare, Education, and Retail and E-commerce. Each industry has its unique set of problems, further divided into multiple subsets. I aim to address such industry-specific issues using Watsonx Assistant. For my use case, I have focused on the Healthcare industry, where a person may need to pay their medical bill and book an appointment with a specific doctor for cardiology issues. These bots save significant time otherwise spent on phone calls, which often disrupt systems and delay responses. With these bots, patients can conveniently use the assistant from anywhere, simplifying their tasks. This ensures ease for patients and allows the entire system to run smoothly. For my project, I have tried to showcase this idea. Although I haven’t incorporated complex conditions, the solution is well-structured. This concept can be adapted for various industries, and my goal is to develop such specific assistants that address core challenges across domains effectively.
18 Nov 2024